{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
  "basics": {
    "name": "Michael Sweatt",
    "label": "Senior Systems Engineer",
    "email": "mdsweatt@gmail.com",
    "url": "https://mikesweatt.com",
    "summary": "Requirements engineering and system safety leader with experience on certified, safety-critical platforms across rail, automotive, and locomotive domains. Currently lead requirements engineering for the rail industry's first cloud-based safety-critical train dispatch platform, authoring and governing a 500+ requirement subsystem specification with lifecycle traceability in Polarion. Prior decade at GM spanning ISO 26262 hazard analysis, FTA/SEFA, DFMEA, and fail-operational design across the BEV propulsion portfolio. Published empirical researcher on AI evaluation reliability in engineering workflows. Proven leading cross-functional teams of 30–50 engineers.",
    "location": {
      "city": "Pittsburgh",
      "region": "PA",
      "countryCode": "US"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "michael-sweatt",
        "url": "https://www.linkedin.com/in/michael-sweatt-86150423/"
      },
      {
        "network": "GitHub",
        "username": "mdsweatt",
        "url": "https://github.com/mdsweatt"
      }
    ]
  },
  "work": [
    {
      "name": "Siemens Mobility",
      "position": "Senior Systems Engineer",
      "location": "Pittsburgh, PA",
      "url": "https://www.siemens.com/mobility",
      "startDate": "2025-04",
      "summary": "Requirements engineering lead for a cloud-based, safety-critical train dispatch platform — the first migration of safety-critical rail dispatch to the cloud — governed by BS EN 62267 (safeguards for driverless and unattended train operation) and GERT8000.",
      "highlights": [
        "Author and own the Subsystem Requirements Specification (SSRS): 500+ requirements decomposed from the system-level SRS and defining how the dispatch platform manages trains, consumed downstream by the subsystem design specification, UI/UX specification, and customer-facing ICD",
        "Govern bidirectional traceability in Polarion from operational hazards through software-level safety requirements to verification: 400+ requirements refined from the system-level SRS, 300+ linked to test cases to date on the active program",
        "Decompose system hazards into software safety requirements for a distributed cloud architecture, working daily with software developers, the safety assurance team, testers, and the customer",
        "Validate operational requirements directly with customer dispatch stakeholders through interactive prototype demonstrations; reduced requirement validation cycles by 80% (weeks to days)",
        "Design and govern AI-augmented requirements workflows (Claude Code, MCP-integrated Polarion auditing) under documented operational rules and evaluation criteria; reduced prototype development time by 95% (months to days)"
      ]
    },
    {
      "name": "General Motors",
      "position": "Lead Systems Technical Specialist",
      "location": "Warren, MI",
      "url": "https://www.gm.com",
      "startDate": "2021-06",
      "endDate": "2025-04",
      "summary": "Provided technical leadership to 40+ propulsion system architects and engineers across GM's BEV portfolio (Cadillac Lyriq, Optiq, Silverado EV, Hummer EV).",
      "highlights": [
        "Conducted hazard analyses, Fault Tree Analyses (FTA), and Single Element Failure Analyses (SEFA) feeding SFMEAs and system safety assessments for high-voltage propulsion under ISO 26262",
        "Authored and decomposed safety requirements for fail-operational and degraded-mode strategies: single-motor limp-home for dual-motor configurations, half-pack operation under battery cell faults, and active discharge (HV bus below 60 V within 300 ms of key-off)",
        "Led cross-functional NACS charging diagnostic investigation (20+ SMEs, 8-week sprint) to root cause of fleet-wide charging failures traced to a stale legacy requirement, avoiding a potential recall across four nameplates; block and sequence diagrams adopted as standard DFMEA artifacts",
        "Reduced critical system failures in BEV propulsion to the 48 IPTV target through structured DFMEA methodology; mentored systems engineers in requirements development and DFMEA analysis"
      ]
    },
    {
      "name": "General Motors",
      "position": "Advanced Battery Algorithm Engineer",
      "location": "Warren, MI",
      "url": "https://www.gm.com",
      "startDate": "2020-09",
      "endDate": "2021-06",
      "summary": "Led team implementing battery diagnostics and prognostics enabling preemptive recalls of vehicles with potential fire hazards.",
      "highlights": [
        "Developed and validated battery life metric algorithms for dual-pack architectures in MATLAB/Simulink",
        "Accelerated software development 25% via SIL methodology"
      ]
    },
    {
      "name": "General Motors",
      "position": "BEV Lead Systems Engineer",
      "location": "Pontiac, MI",
      "url": "https://www.gm.com",
      "startDate": "2017-06",
      "endDate": "2020-09",
      "summary": "Authored Propulsion Subsystem Specifications and interface control documents for the EV portfolio.",
      "highlights": [
        "Led 15+ member integration teams and 50+ member product development forums",
        "Drove design decisions through system DFMEAs and program reviews"
      ]
    },
    {
      "name": "General Motors",
      "position": "Hybrid Systems Engineer",
      "location": "Pontiac, MI",
      "url": "https://www.gm.com",
      "startDate": "2015-08",
      "endDate": "2017-06",
      "summary": "Built foundational requirements-at-scale infrastructure for GM propulsion programs.",
      "highlights": [
        "Spearheaded migration of requirement specifications from Excel to IBM DOORS, designing a requirements management process adopted by subsequent propulsion programs",
        "Led European BEV feasibility study coordinating GM Europe and Streetscooter third-party vehicle integration"
      ]
    },
    {
      "name": "GE Transportation",
      "position": "Auxiliary Power Subsystem Team Lead",
      "location": "Erie, PA",
      "url": "https://www.wabteccorp.com",
      "startDate": "2011-09",
      "endDate": "2015-08",
      "summary": "Directed auxiliary power distribution and battery charging systems for locomotives.",
      "highlights": [
        "Integral contributor to the GE Evolution Series Tier 4 launch (65–85% emissions reduction)",
        "Developed charging control strategies in C and MATLAB/Simulink"
      ]
    },
    {
      "name": "GE Transportation",
      "position": "Edison Engineering Development Program",
      "location": "Erie, PA",
      "url": "https://www.wabteccorp.com",
      "startDate": "2009-10",
      "endDate": "2011-09",
      "summary": "Competitive two-year rotational program: four engineering assignments plus graduate coursework applied toward M.S. at Georgia Tech.",
      "highlights": [
        "Completed 4 rotations across Hardware-in-the-Loop Simulation, Engineering Quality, Diesel Engine Control, and Trip Optimizer"
      ]
    }
  ],
  "publications": [
    {
      "name": "The Meter and the Judge",
      "publisher": "Self-published (pre-registered)",
      "releaseDate": "2026",
      "url": "https://mikesweatt.com/posts/the-meter-and-the-judge",
      "summary": "Pre-registered empirical study (~4,000 measured API calls) on cost governance and LLM-as-judge reliability in AI-augmented engineering workflows. Key finding: task cost is stable and bandable, but judge–human agreement on quality was 54.9%, with 83% of disagreement traced to underspecified quality criteria — directly relevant to ML evaluation V&V and safety argumentation."
    },
    {
      "name": "AI-Assisted Requirements Decomposition System",
      "publisher": "Proof of concept — presented to Siemens engineering leadership",
      "releaseDate": "2026",
      "summary": "Multi-agent system automating requirements decomposition workflows, achieving 34% quality improvement over manual baseline with 100% output consistency across 110 tests."
    },
    {
      "name": "Requirements Engineering Evals",
      "publisher": "In progress",
      "releaseDate": "2026",
      "summary": "Ongoing pre-registered evaluation framework for AI detection of requirement defects in safety-critical corpora, with frozen corpus and human-only seed authorship protocols."
    }
  ],
  "education": [
    {
      "institution": "Georgia Institute of Technology",
      "url": "https://www.gatech.edu",
      "area": "Electrical Engineering",
      "studyType": "Master of Science",
      "endDate": "2013-12"
    },
    {
      "institution": "University of Maryland College Park",
      "url": "https://www.umd.edu",
      "area": "Electrical Engineering",
      "studyType": "Bachelor of Science",
      "endDate": "2009-05"
    }
  ],
  "certificates": [
    {
      "name": "Project Management Professional (PMP)",
      "issuer": "Project Management Institute"
    },
    {
      "name": "DFSS Black Belt",
      "issuer": "General Motors"
    },
    {
      "name": "Deep Learning Specialization",
      "issuer": "Stanford University"
    },
    {
      "name": "Machine Learning Specialization",
      "issuer": "Stanford University"
    }
  ],
  "skills": [
    {
      "name": "Requirements Engineering",
      "keywords": [
        "Requirements authorship & decomposition at scale (system → subsystem → software)",
        "Safety requirements traceability",
        "Polarion (daily, MCP-integrated)",
        "IBM DOORS/DNG",
        "Enterprise Architect",
        "UML/SysML",
        "Requirements process design"
      ]
    },
    {
      "name": "Functional Safety",
      "keywords": [
        "ISO 26262 (Parts 3–6: HARA-adjacent hazard analysis, FSR/TSR decomposition, software safety requirements)",
        "BS EN 62267",
        "GERT8000",
        "FTA",
        "SEFA/SFMEA",
        "DFMEA",
        "Fail-operational & degraded-mode design"
      ]
    },
    {
      "name": "AI-Augmented Engineering",
      "keywords": [
        "Claude Code",
        "MCP integrations",
        "RAG architectures",
        "LLM evaluation design (pre-registered evals, judge calibration)",
        "Token-economics governance",
        "Prompt engineering"
      ]
    },
    {
      "name": "Languages & Tools",
      "keywords": [
        "Python",
        "MATLAB/Simulink",
        "C/C++ (familiar)",
        "Git",
        "Docker",
        "Linux",
        "SIL/HIL testing",
        "CI/CD"
      ]
    }
  ],
  "projects": [
    {
      "name": "CraftRole",
      "description": "AI-accelerated product built from concept to deployment; documented end-to-end process as a replicable operating procedure for AI-accelerated product development.",
      "url": "https://www.craftrole.com",
      "keywords": ["Next.js", "Supabase", "Vercel", "Claude Code"]
    }
  ],
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    "version": "v1.2.0",
    "lastModified": "2026-08-10"
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