I’m a backend-heavy Full Stack Staff Software Engineer and AI Architect, building production systems with React, TypeScript, and Node.js, alongside applied AI/ML platforms in Python.

My foundation is backend engineering — designing distributed, observable, and cost-efficient systems that power real products at scale. While I work across the full stack, my strength lies in backend architecture, service design, data systems, and platform infrastructure.

I specialize in translating AI capabilities into reliable production systems that hold up under real users, real data, and real unit economics.

At Staff level, I operate across backend engineering, AI systems, and product architecture — bridging machine learning capabilities with robust software design.

What I design and operate:

• Scalable backend services and APIs (Node.js / TypeScript) • Full-stack product systems (React + TypeScript) • Production-grade generative AI applications (customer-facing products, internal tools, workflow automation) • LLM-powered data processing and enrichment pipelines • RAG systems grounded in structured business context • Knowledge graph integrations (Neo4j) for structured reasoning • Cost-aware inference systems (dynamic routing, semantic caching, usage optimization) • Secure and sandboxed AI execution environments • CI/CD and evaluation-driven ML deployment workflows

I treat AI as infrastructure — not a feature. Safety, cost control, and context grounding are enforced at the systems layer rather than left to prompts.

My impact is strongest in backend-heavy system design, platform thinking, and building long-lived technical foundations that teams can scale on.

Core strengths: Backend Engineering • Full Stack Development • React • TypeScript • Node.js • Distributed Systems • AI Platform Engineering • Production ML & GenAI • RAG • Knowledge Graphs • System Architecture • Python