10x Engineering velocity multiplier backed by full-stack fundamentals. AI accelerates exploration, integration, and deployment while foundational engineering ensures correctness, security, and performance.
Harnessing AI coding assistants and natural language orchestration to rapidly prototype features, scaffold boilerplate, and generate robust components at unprecedented speed.
Using LLMs to rapidly spike API boundaries, explore alternate schema designs, and validate architectural tradeoffs while strictly enforcing TypeScript types and schema validation.
Building practical AI systems that connect to business databases, ground answers in verified company documentation, and eliminate manual data entry via N8N and Python.
Treating AI outputs with rigorous engineering verification — validating edge cases, verifying security boundaries, writing unit tests, and designing deterministic fallbacks for mission-critical operations.
Active architectural initiatives, technical spikes, and research implementations currently under development.
Developing an autonomous multi-agent mesh where specialized agents handle customer inquiry classification, live inventory routing, and supplier reorder negotiations with tool execution sandboxes.
Engineering a production-grade ingestion and retrieval service combining vector similarity with BM25 lexical search and Reciprocal Rank Fusion (RRF) for sub-50ms query latency.
Designing an idempotent webhook consumer and data sync engine with automated dead-letter queues, exponential backoff, and state reconciliation for mission-critical e-commerce APIs.