Core Competencies
- Technology Strategy & Digital Transformation
- Enterprise Architecture
- AI Product Strategy & Governance (LLM/RAG-ready workflows, evaluation, guardrails)
- Platform Modernization (Microservices, APIs, CI/CD)
- Data & Analytics Strategy
- Cybersecurity & Risk Management (AuthN/AuthZ, auditability, least privilege)
- Vendor & Partner Management
- IT/Engineering Operating Cadence (KPIs, governance)
- Cross-Functional Delivery
- Reliability Engineering / Observability
- Organizational Development & Mentorship
- Budgeting & Resource Planning
- Executive Communications & Board/Stakeholder Management
Deep Technical Detail
Architecture & Platform Modernization
API-first, microservices-based architectures; domain boundaries and service ownership
Platform migration/pivots under real constraints (time, reliability, teams, customers)
CI/CD pipelines and release governance aligned to production operations
Release Engineering & Operability
OTA update strategies, rollout gates, rollback discipline, and change control
Observability expectations: logs/metrics/traces, SLO-minded monitoring, incident hygiene
Staged deployments (small batches → validation → broad rollout)
Security & Governance (Security-first by default)
AuthN/AuthZ patterns, least-privilege access, auditability, secure-by-design workflows
Controls for sensitive data handling (especially document workflows)
Evaluation/guardrails mindset for AI-enabled systems (quality gates, failure modes)
AI-Enabled Workflows (Practical, production-oriented)
LLM/RAG-ready workflow design: retrieval strategy, evaluation approach, guardrails
Document intelligence and contradiction detection workflows integrated into user tools
Focus on trustworthy automation over “demo magic”
Edge/Real-Time Systems (LiDAR + vehicle/field deployments)
Real-time sensing and detection/awareness workflows; edge analytics constraints
Vehicle-based systems: integration, deployment discipline, operational continuity
Reliability hardening in constrained environments
Cloud/DevOps Tooling
Containerized deployments (Docker), build/release pipelines, artifact management
AWS experience (admin/operations, multi-account environments) where relevant
Practical performance monitoring: CPU/memory/disk/temperature/GPU metrics
Desktop & Automation (when useful)
WinUI 3 desktop application patterns (MVVM), Python↔C# interop
Video/camera workflows with OpenCV where applicable to tooling/testing
Selected “Built It” Examples
Implemented OTA update process + rigorous release governance for high-quality deployments.
Architected a microservices-based system designed for scalability and rapid feature integration.
Led security-first AI document workflows with evaluation/quality gates and guardrails.
Built operational discipline around observability expectations and production-grade controls.