{
  "schema_version": 1,
  "description": "Samuel Meyer public candidate chat corpus. Head of AI, Director of AI, and VP of AI candidate for regulated industries: enterprise AI and Generative AI strategy, LLM evaluation, AI governance, retrieval-augmented generation, Agentic AI, and life sciences.",
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      "title": "Touchstone Consulting Group / SRA International \u2014 Washington, DC (2007 \u2013 2009)",
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    {
      "id": "base-020",
      "title": "Open Brain (github.com/swmeyer1979/open-brain-demo)",
      "text": "Semantic memory MCP server. SQLite + FTS5 full-text search + vector similarity (cosine, local embeddings via quantized models \u2014 no cloud dependency). Tools: remember, recall, browse, forget. TypeScript/Node 22+; stdio transport; compatible with Claude Desktop, Cursor, custom agents.",
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      "title": "Agent Harness (github.com/swmeyer1979/agent-harness-demo)",
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    {
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      "title": "RL Alignment Demo (github.com/swmeyer1979/rl-alignment-demo)",
      "text": "End-to-end RLHF pipeline: DPO fine-tuning with LoRA on human preference data (Anthropic HH-RLHF dataset), Bradley-Terry reward model training, side-by-side qualitative evaluation. Runs on single GPU or CPU. Demonstrates full understanding of DPO vs PPO tradeoffs.",
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      "title": "Stablecoin Settlement Gateway (github.com/swmeyer1979/stablecoin-settlement-gateway)",
      "text": "Concept POC for a regulated cross-border B2B stablecoin settlement rail. Includes PRD, architecture, business case, and a working AI compliance agent using tool calls to screen transactions against sanctions, KYC, Travel Rule, and wallet-risk constraints with explicit abstention and audit trail per decision. Portfolio status: concept POC, not a production payment rail.",
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      "title": "Agent Network Passive Detection (github.com/swmeyer1979/agent-network-passive-detection)",
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      "title": "WORKBank Drift 2026 (github.com/swmeyer1979/workbank-drift-2026)",
      "text": "Public research study recomputing Stanford SALT WORKBank's capability axis against April-2026 frontier models with calibration, sensitivity analysis, and explicit limitations. Demonstrates labor-market AI evaluation, model calibration, and honest reporting of framework collapse risk.",
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    {
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      "title": "YC x WORKBank Autopsy (github.com/swmeyer1979/workbank-yc-autopsy)",
      "text": "Preregistered empirical test of Stanford WORKBank zones against 1,223 YC startup outcomes. Primary hypotheses were null; exploratory zone-level results found Red-zone shutdown-rate reversal. Demonstrates empirical discipline, startup-outcome analysis, and willingness to report nulls.",
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    },
    {
      "id": "base-034",
      "title": "Location & Availability",
      "text": "- **Available:** Immediately\n- **Preference:** Fully remote / remote-first\n- **Open to hybrid/on-site** for the right role \u2014 commutable from Doylestown, PA: Philadelphia metro, NJ statewide, NYC metro (acceptable), eastern PA\n- DC area: acceptable only for exceptional roles",
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    {
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      "title": "Job Search Preferences",
      "text": "- Seeking senior individual contributor or director-level roles\n- Role types: IT strategy and business partnering, product management for digital or AI-enabled capabilities, enterprise architecture, digital transformation leadership, applied AI engineering/delivery\n- Strongest domain fit: regulated enterprise AI, healthcare-adjacent platforms, and compliance-heavy operators \u2014 open to financial services, energy, public sector, and technology companies\n- Not limiting to AI engineering only; open to roles where AI is part of the work alongside broader technology leadership and delivery\n- Target compensation: market-aligned for Associate Director / Director / Senior Principal scope",
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    {
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      "title": "Additional BLS / Early Career Facts From Historical Resumes",
      "text": "Bureau of Labor Statistics:\n- Full title: Economist, Bureau of Labor Statistics / U.S. Department of Labor (2002\u20132007).\n- Developed recommendations for data-management issues through papers and presentations.\n- Served on national team revising the Standard Occupational Classification system.\n- Requirements analyst for web application development using Rational Unified Process and Rational suite; authored use cases, business rules, and data models.\n- Led testing strategy, test plan, test cases, component testing, end-to-end system testing, and user acceptance testing.\n- Performed cost-benefit analyses for system capabilities.\n- Deployed project-management best practices; developed/administered web-based and classroom training; reviewed project charters; ran kickoffs, team self-assessments, status-report reviews, and lessons-learned processes.\n- Managed collection, analysis, and publication of occupational data; managed regional liaisons; designed and performed data QA; conducted quantitative and qualitative ad hoc research.\n- Managed confidential research data files and negotiated Memoranda of Agreement with authorized external researchers; reviewed research use, analysis, and conclusions; led investigations/enforcement activities for data confidentiality violations.\n- Presented to industry/research communities on compensation and working-conditions data, including conference presentations and advisory councils.\n- Led disaster-recovery process documentation/improvement, business process flow diagrams, and SOP integration.\n- Developed new collection, processing, and analysis system to improve data quality and produce standard reports; used regression analysis to identify trends/root causes in data-quality errors; developed scripts to automate data production.",
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    },
    {
      "id": "base-051",
      "title": "Additional BLS / Early Career Facts From Historical Resumes",
      "text": "Early roles:\n- Berliner, Corcoran & Rowe, L.L.P. \u2014 Paralegal (2001\u20132002). Researched foreign policy, international relations, security-clearance case law, fraud, income tax, immigration, copyright term extension, and cases involving the Islamic Republic of Iran; supported Foremost v. McKesson, Cobell v. Norton, Eldred v. Ashcroft, privilege review, and court document preparation.\n- Healthcare Recruiters of Cincinnati, Inc. \u2014 Intern / Marketing Associate (2001). Targeted 2,000+ outside clients, produced 600 new business relationships, focused on healthcare and medical-supplies sales, created marketing/public-relations materials, trained search consultants in SPIN Selling, and tracked/analyzed marketing results.\n\nEarly publications:\n- Meyer, S. W., and S. M. Pegula. \"Injuries, Illnesses, and Fatalities in Construction, 2004.\" Compensation and Working Conditions, U.S. Bureau of Labor Statistics, May 2006.\n- Windau, J. A., and S. W. Meyer. \"Occupational injuries among young workers.\" Monthly Labor Review 128, no. 10 (October 2005).\n- Meyer, S. W. \"Fatalities among older farming workers.\" Monthly Labor Review 128, no. 10 (October 2005).\n- Meyer, S., and S. Pegula. \"Years of potential life lost: An alternative for measuring workplace fatalities.\" IAIABC Journal 41, no. 2 (2004): 180\u2013206.\n- Earlier 2003 resume references \"Fatal occupational injuries involving confined spaces, 1997\u20132001\" and \"Reasonable Intuition?\" on RelevantMagazine.com.\n\nEducation detail:\n- Miami University degree: Bachelor of Science, Business Economics, Cum Laude; Marketing thematic sequence; significant coursework in management and systems analysis.",
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    },
    {
      "id": "base-052",
      "title": "Additional Open-Source / Research Facts From Tailored Corpus",
      "text": "DTI contamination research:\n- Working paper title: \"When Random Initialization Wins: Evaluation Artifacts in Drug-Target Interaction Benchmarks.\"\n- Sole author; intended arXiv cs.LG submission.\n- Identifies three evaluation artifacts in Davis/KIBA-family drug-target interaction benchmarks: single-target dominance, pair-level bootstrap confidence intervals with poor empirical coverage under two-way clustered data, and metric-induced rank reversal under macro-averaged per-target Pearson r.\n- Specific result: Q92918/MAP3K1 contributes 53% of a standard kinase-only holdout.\n- Pair-level bootstrap confidence intervals achieved 17% empirical coverage under two-way clustered data.\n- Under target-balanced evaluation, randomly initialized ESM-2/ChemBERTa transformer outperformed pretrained counterpart on novel chemistry (delta +0.138; BCa 95% CI [+0.006, +0.278]).\n- Finding replicated on TDC DTI-DG BindingDB_Patent with 190 qualifying targets.\n\nBasketball GOAT analysis:\n- Working paper / analysis: \"Convergent Evidence for the Greatest Basketball Player of All Time: A Multi-Method Ensemble Analysis.\"\n- Sole author; code/analysis at github.com/swmeyer1979/basketball-goat-analysis.\n- Built five orthogonal analytical frameworks: Composite Statistical Dominance Index, Era-Adjusted Relative Dominance, Causal Win Impact Model using Rubin potential outcomes framing, Bayesian Peak-Longevity Synthesis via Hamiltonian Monte Carlo with Plackett-Luce revealed-preference weighting, and Multi-Criteria Decision Analysis with stochastic dominance over 500K Monte Carlo draws.\n- All five methods converged on same winner with consensus probability 0.70; primary methodological point is convergent validity.",
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    {
      "id": "base-053",
      "title": "Additional Open-Source / Research Facts From Tailored Corpus",
      "text": "Technical details:\n- Open Brain: better-sqlite3, SQLite-vec/FTS5, cosine similarity, pluggable embedders, self-contained demo backend, OpenAI backend, stdio MCP transport, compatible with Claude Desktop, Cursor, and custom agents.\n- Agent Systems Proof: Python CLI with explicit tool calls, SQLite checkpoints, JSONL traces, exact trajectory evals, report-quality gates, path-safety tests, and checkpointed stop/resume behavior.\n- Agent Harness: CLI commands include `new`, `plan`, `go`, and `status`; Zod-typed FeatureManifest and ExecutionPlan schemas; cost-aware sequential/parallel dispatch under USD budget and wall-time constraints.\n- Dev-Ops Demo: two GitHub Actions workflows implement issue label `queued` \u2192 Claude plan \u2192 plan comment \u2192 human approval \u2192 execute branch/code/PR; per-repo `.agent-adapter.json` controls scope, scope controls, and build commands.\n- Clearios: SwiftUI iOS client using Observation and async/await; Node.js/TypeScript behavior bridge; APNs relay; Docker Compose local demo; behavior-module pattern with greet/focus/reflect examples.\n- MCP Server Template: ESM + NodeNext + Zod + stdio transport; one-file reference with one tool, one resource, and one MCP prompt template.",
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      "id": "profile-experience-pwc-advisory",
      "title": "PricewaterhouseCoopers LLP - Manager, Advisory Services",
      "text": "PricewaterhouseCoopers LLP - Manager, Advisory Services (2009\u20132014)\nEnterprise advisory, portfolio governance, business architecture, and revenue generation.\nManaged strategy and delivery work across healthcare, federal, energy, and regulated enterprise clients with portfolio, vendor, and executive-facing scope.\nBullets:\n- Generated $6.5M incremental revenue and $31M pipeline through thought leadership, solution development, and proposals.\n- Managed a Federal Regulatory Agency's $17M+ annual IT portfolio including governance, vendor management, and SLA oversight for 200+ users across 100\u2013150 mission-critical investigations.\n- Led business-aligned IT strategy for a Fortune 50 healthcare payer using Business Architecture methodologies.\n- Defined digital platforms, analytics solutions, and channel management operating models for regulated enterprise clients.\n- Account lead for a global energy leader: technology strategy, enterprise architecture, application rationalization saving $150K+ annually.\nContext:\n- Situation: Large organizations needed clearer links between strategy, architecture, spend, and delivery.\n- Scope: Federal, payer, regulated-industry, and energy clients; portfolio governance and operating-model work.\n- Portfolio: Business architecture, IT strategy, vendor governance, analytics solutions, and proposals.\n- Evidence: Generated $6.5M incremental revenue and $31M pipeline; managed a $17M+ annual IT portfolio.\n- Lesson: Strategy has to hold up through budget, vendors, governance, and delivery cadence.\nTags:\nPwC, Strategy, Portfolio, Healthcare, Enterprise architecture",
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    },
    {
      "id": "profile-skills-gaps",
      "title": "Skills - gaps",
      "text": "- Consumer growth: Not the strongest evidence zone. Enterprise B2B and regulated workflows are stronger.\n- Mobile-first specialist roles: Swift/iOS evidence exists through Clearios, but not a dedicated mobile engineering career.\n- Pure quota sales: Commercial judgment and proposal revenue exist; quota-carrying sales is not the core evidence.\n- Frontier academic ML: Applied AI, retrieval, orchestration, and evaluation are stronger than novel model research.",
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    {
      "id": "positioning-summary",
      "title": "Positioning summary",
      "text": "Sam Meyer is a Head of AI / Director of AI who still writes the code. He has twenty years leading enterprise technology and digital transformation, hands-on with LLM and agentic systems since 2021. At Bristol Myers Squibb he owned the enterprise generative-AI portfolio for a global Medical Affairs organization: a production RAG platform serving ~2,000 users across 50+ markets, an ~$8M annual book, governed under GxP and 21 CFR Part 11. His strongest lane is AI that has to clear buyers, legal review, budgets, data constraints, and production use. He bridges executive strategy and technical execution and builds practical AI systems with governance, source grounding, retrieval, human review, and auditability. Current work is independent: building production AI systems, with no consulting or advisory practice. Target titles: Head of AI, Director of AI, Senior Director AI, Principal AI Engineer. Based in the Philadelphia metro (Doylestown, PA), remote-first, US citizen, no sponsorship. PMP, ITIL Expert, and CPHIMS certified. BMS work is described at the capability level, without internal project names, architecture stacks, source systems, acquisition details, or confidential legal facts.",
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      "id": "bms-experience-summary",
      "title": "Bristol Myers Squibb - experience summary",
      "text": "At Bristol Myers Squibb, Sam held Associate Director roles from 2014 to 2026 in regulated enterprise platform and AI work. In his most recent role (Scientific Customer Engagement, 2024 to 2026) he owned the enterprise generative-AI portfolio for a global Medical Affairs organization: a production RAG platform serving ~2,000 users across 50+ markets, an ~$8M annual GenAI and digital book, governed under GxP and 21 CFR Part 11. Earlier roles owned a ~$10M multi-year Medical Affairs capital book (IT Business Partnering, 2021 to 2024) and a $15M capital book across commercialization capabilities (2017 to 2021), including a $74B Celgene M&A technology integration across 20+ platforms, 1,500+ users, and 50+ markets in 18 months, with $7M in operating efficiency and $4.3M in annual cost avoidance from industry-first componentized Medical content. Public-safe evidence includes portfolio leadership, stakeholder alignment with VP/SVP accountability, vendor delivery, business-case ownership, governance, regulated AI patterns, and source-grounded workflow design. BMS work is described at the capability level, without internal project names, system names, program names, implementation stacks, or source systems.",
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    {
      "id": "regulated-ai-patterns",
      "title": "Regulated AI patterns",
      "text": "Sam has designed patterns for regulated AI workflows that emphasize source grounding, retrieval quality, human validation, approval gates, audit trails, clear tool boundaries, and operating governance. It is best understood as a capability pattern: source-grounded, validated, auditable, and governed.",
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      "title": "Independent AI Builder and Researcher positioning",
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    {
      "id": "independent-ai-portfolio",
      "title": "Independent AI portfolio",
      "text": "Independent building work includes original public demos such as Open Brain, Agent Systems Proof, agentic development workflows, Agent Harness, Clearios demo, MCP Server Template, RL Alignment Demo, Stablecoin Settlement Gateway, Agent Network Passive Detection, Agentic Diplomacy Lab, WORKBank Drift 2026, YC x WORKBank Autopsy, DTI benchmark contamination research, Basketball GOAT analysis, and live product surfaces such as SceneLock, ReplyHooks, PlanStamped, CallToProposal, Just Book Dinner, and an AI Governance Control Plane. Model Router and the main product repos are private IP; public surfaces and demo repos carry the external portfolio signal.",
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      "title": "PwC experience summary",
      "text": "At PricewaterhouseCoopers, Sam worked in digital public health, enterprise architecture, technology strategy, and advisory delivery. Proof includes $6.5M advisory revenue generated, $31M pipeline generated, and management of a $17M+ federal IT portfolio. This supports enterprise buyer empathy, regulated-domain fluency, and executive credibility.",
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      "text": "Public product portfolio: SceneLock is an AI video control plane; ReplyHooks is an AI lead-generation SaaS; PlanStamped is a permit-plan generator; Discovery-to-Proposal / CallToProposal turns discovery transcripts into proposal artifacts; Just Book Dinner is a dinner-reservation concierge validation build; AI Governance Control Plane is a personal build described publicly as an AI control-plane concept for policy, audit, approvals, inventory, and compliance reporting. Stablecoin Settlement Gateway is an original public concept POC for regulated cross-border B2B stablecoin settlement with PRD, architecture, business case, and an AI compliance agent.",
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      "title": "Recommendation \u2014 Robert Kersting, VP Global Head Medical Engagement Excellence at Bristol Myers Squibb (May 2026)",
      "source": "LinkedIn recommendation",
      "kind": "testimonial",
      "text": "Robert Kersting, PharmD, BCMAS \u2014 Vice President, Global Head, Medical Engagement Excellence at Bristol Myers Squibb \u2014 wrote in May 2026: 'I had the pleasure of working with Sam at Bristol Myers Squibb, where he was instrumental in advancing our Insights to Action platform. Sam brings a sharp, strategic mindset\u2014translating complex business needs into practical, scalable technology solutions that drive real impact. He is highly collaborative and excels at aligning cross-functional stakeholders to move initiatives forward with clarity and focus. I would highly recommend Sam as a thoughtful and creative technology strategist.' Relationship: worked with Sam on different teams. VP-level executive endorsement of strategic mindset, scalable technology solutions, cross-functional stakeholder alignment, and creative technology strategy. Profile: linkedin.com/in/rkersting/",
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    {
      "id": "recommendation-venkatraman",
      "title": "Recommendation \u2014 Ramaganesh Venkatraman, Senior Principal Architect AI / ML Expert Medical Affairs (April 2026) \u2014 production GenAI in regulated environments",
      "source": "LinkedIn recommendation",
      "kind": "testimonial",
      "text": "Ramaganesh Venkatraman \u2014 Senior Principal Architect AI / ML Expert, Medical Affairs \u2014 wrote in April 2026: 'Sam brings deep expertise in Medical Affairs and pharmaceutical commercialization, combined with a strong ability to define and execute multi-year GenAI roadmaps in highly regulated environments. He consistently ensures projects run smoothly by clearly defining scope, objectives, and long-term vision, while creating an environment where engineers are empowered to experiment, evaluate options, and arrive at well-reasoned, compliant solutions. What sets Sam apart is his rare combination of strong technical depth, domain expertise in Medical Affairs, and exceptional people leadership. He understands the complexities of pharma commercialization, including governance, data privacy, and compliance requirements, and translates them effectively into practical, production-ready GenAI solutions. Under his leadership, we successfully deployed multiple production-grade GenAI applications handling high-volume Medical Affairs and commercialization data, all operating within strict regulatory frameworks. Sam is a rare leader who seamlessly combines deep Medical Affairs and commercialization expertise, GenAI technical excellence, execution rigor, and authentic people leadership.' Relationship: worked with Sam on the same team. Direct evidence of regulated GenAI delivery, multi-year roadmap execution, governance, compliance, data privacy, and people leadership. Profile: linkedin.com/in/ramaganesh-venkatraman-02a52b58/",
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    {
      "id": "recommendation-raghavarapu",
      "title": "Recommendation \u2014 Arun Kumar Raghavarapu, Senior Manager at Bristol Myers Squibb (April 2026) \u2014 hands-on coding evidence (RAG, agentic workflows, LLM-as-a-judge)",
      "source": "LinkedIn recommendation",
      "kind": "testimonial",
      "text": "Arun Kumar Raghavarapu \u2014 Senior Manager at Bristol Myers Squibb \u2014 wrote in April 2026: 'I had the privilege of working with Sam on several key initiatives within Medical Affairs in the Commercialization function at Bristol Myers Squibb. Together, we worked on solutions such as Medical Insight Chat, AI-powered insights integration from CRM (including automated categorization and sentiment capture), insight generation from advisory boards and publications, and the Insight-to-Action. Sam was deeply involved in building and shaping systems that were deployed and used by business teams. What sets Sam apart is his truly hands-on approach. He actively worked in the code, experimenting with and evaluating different approaches to retrieval-augmented generation (RAG), improving retrieval relevance through ranking strategies, exploring agentic workflows, and even leveraging LLM-as-a-judge techniques to assess response quality. His ability to combine this level of technical depth with strong business context ensured that what we built was both innovative and practical. He consistently approached problems from an end-user perspective, ensuring the solutions delivered meaningful value. I would highly recommend him to any organization or venture looking to operate at the forefront of applied AI.' Relationship: Sam was senior to Arun. Authoritative evidence answering 'is Sam actually hands-on': yes \u2014 actively worked in code on RAG ranking strategies, agentic workflows, and LLM-as-a-judge evaluation. Profile: linkedin.com/in/arun-kumar-raghavarapu/",
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    },
    {
      "id": "recommendation-casula",
      "title": "Recommendation \u2014 Shalini Casula, direct report at Bristol Myers Squibb (April 2026) \u2014 people leadership and stakeholder trust",
      "source": "LinkedIn recommendation",
      "kind": "testimonial",
      "text": "Shalini Casula \u2014 Product Owner / Technology Strategist at Bristol Myers Squibb \u2014 wrote in April 2026: 'I have had the pleasure of working with Sam, and I can confidently say he is a standout Technology Strategist. He brings a strong blend of strategic thinking and hands-on execution, playing a key role in IT Medical at BMS and driving innovative, high-impact initiatives aligned with business and technology goals. With sharp business acumen and a clear technology strategy mindset, Sam consistently balances customer needs, business priorities, and technical feasibility to deliver scalable solutions. He is a trusted partner across stakeholders and a true driver of business value. Sam fosters a collaborative, high-performing environment and is an attentive listener who values diverse perspectives.' Relationship: Shalini reported to Sam directly. Direct-report endorsement of strategic thinking, hands-on execution, business acumen, stakeholder trust, and inclusive team leadership. Profile: linkedin.com/in/casulas/",
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    },
    {
      "id": "touchstone-wea-implementation",
      "title": "Wireless Emergency Alerts (WEA / CMAS) implementation contribution at Touchstone",
      "source": "Touchstone Consulting Group / SRA (2007-2009)",
      "kind": "experience",
      "text": "While at Touchstone Consulting Group / SRA International, Sam was a key contributor to the implementation of the US Wireless Emergency Alerts program \u2014 also known as the Commercial Mobile Alert System (CMAS) \u2014 which delivers presidential alerts, AMBER alerts, and imminent-threat alerts to mobile phones across the United States. The program is a joint federal initiative across the FCC, FEMA, and the wireless carrier industry. Sam's contributions touched standards work in ATIS and TIA on message format, delivery semantics, and carrier interoperability, alongside multi-stakeholder rollout coordination across federal sponsors, wireless carriers, and device manufacturers. The system had no off-switch once live and zero tolerance for failure modes \u2014 a public-safety operating context that calibrates how Sam thinks about reliability, audit, and stakeholder coordination today. This work overlaps with the standards-body contributions referenced in his early career: OASIS, ATIS, and TIA on data interoperability and emergency communications.",
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    {
      "id": "recommendation-dwivedi",
      "title": "Recommendation \u2014 Mohit Dwivedi, Tech Lead and GenAI Solutions Architect (April 2026)",
      "source": "LinkedIn recommendation",
      "kind": "testimonial",
      "text": "Mohit Dwivedi \u2014 Tech Lead, AI & GenAI Solutions Architect \u2014 wrote in April 2026: 'I had the pleasure of working under the leadership of Sam on a project, where he played a key role in bridging the gap between business and technical teams. His strong technical expertise and clear understanding of requirements helped us achieve our goals smoothly and efficiently. He is highly supportive, proactive, and a great person to collaborate with. It was a great time working with him.' Relationship: Sam was senior to Mohit. Tech-lead endorsement of business-technical bridging, technical expertise, and supportive leadership. Profile: linkedin.com/in/mohit746/",
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