Patent-backed AI Product Leader
AI safety, edge inference, and deterministic governance for 40M–70M+ devices.
I design and ship safety-first AI systems on top of large broadband and Wi-Fi fleets—defining how we gate releases, score risk, and turn telemetry into decisions that leaders can trust.
About
I build deterministic, safety-first AI systems at scale. At Comcast, I've led AI safety, rollout governance, and reliability for broadband and Wi-Fi platforms serving 40M–70M+ devices—where every regression becomes real customer impact and multimillion-dollar SLA risk.
My work focuses on defining product strategy and technical architecture for edge inference, alignment guardrails, and telemetry-driven risk scoring. I own the end-to-end governance stack: safety bars, rollout gates, anomaly thresholds, compliance checks, and privacy-preserving logging across distributed telemetry pipelines.
I've unified 50+ engineers across Product, ML/DS, SRE, QA, Field Ops, Security, and vendors under a standardized evaluation model— reducing regression recurrence by 28%, improving triage and recovery by 35%, and giving leaders a clear view of safety vs. velocity on every high-stakes release.
I'm also pursuing a Doctor of Engineering (DEng) at Penn State to deepen my work at the intersection of AI safety, product strategy, and innovation management, while building a patent-backed portfolio across Edge AI, alignment, and deterministic governance.
What I build
Edge AI & Offline Intelligence
LLM systems that run fully offline on edge devices, respect data boundaries, and keep working when the network doesn’t—combining model compression, on-device alignment debugging, and self-forgetting memory.
Deterministic Safety & Governance
Rule-based risk engines for hallucination, bias, latency, and policy violations. Deterministic where it matters, ML where it’s safe—always with an audit trail.
Product Strategy & Execution
Turning patents and research into roadmaps, prototypes, and launch-ready AI features—grounded in reliability, compliance, and real production constraints.
Skills & Stack
AI Safety, Governance & Privacy
- AI safety & alignment
- deterministic rule engines
- risk triage and scoring
- privacy-preserving logging
- offline inference
- RAG, embeddings, ONNX, quantization
- explainability (XAI)
Product & Strategy
- vision & strategy
- multi-year roadmaps
- PRDs and requirements
- KPIs / SLIs / SLOs
- rollout governance & go/no-go
- experimentation & A/B testing
- VP/SVP stakeholder management
Platforms & Systems
- RDK-B, broadband, Wi-Fi / 6 GHz
- DHCP, DSCP & traffic prioritization
- CI/CD and observability
- SLA/SLO design
- high-availability distributed systems
Engineering, Leadership & Execution
- Python, FastAPI, Docker, Splunk, ElasticSearch, Next.js, Git, ONNX Runtime
- cross-functional alignment (Product, ML/DS, SRE, QA, Field Ops, Security)
- multi-quarter OKR planning
- incident triage & postmortems
- executive communication & decision briefs