• Designed and own the full-stack AI feedback loop: reviewers annotate model errors in a React/TypeScript UI I built; corrections flow through a Python/FastAPI pipeline into an eval system that restructures prompts and playbooks — improving recall from 55% to 92% after 15 annotated documents for a major enterprise customer
• Sole frontend engineer on the compliance product; own 100% of frontend code across the core product and multiple pilot applications built to close enterprise deals
• Reduced pipeline latency 3× (8 min → 3 min) by replacing LLM inference with Python post-processing where the model was being used for deterministic logic, then parallelizing the remaining independent stages
• Designed fault-tolerant Temporal workflows with idempotent retries, task queues, and parallel fan-out for correctness under bursty enterprise workloads
• Shipped a 0→1 production system on a 3-engineer team in 6 weeks; deployed full-stack pilot applications solo across government ACR contract review, pharma regulatory compliance, environmental marketing compliance, and pharma consumer review moderation