Evaluate AI-generated code for production readiness across Python and TypeScript codebases, assessing logic correctness, error handling, interface design, and software engineering best practices for Claude Code training data.

Conduct iterative code review sessions simulating real-world PR workflows, guiding AI outputs toward maintainable, well-tested implementations that match existing codebase conventions.

Provide detailed technical feedback across multiple evaluation axes including naming clarity, modularity, documentation quality, and review readiness, directly contributing to LLM code generation improvements.

After two years architecting healthcare analytics platforms at Komodo Health, I made an intentional decision to invest in AI integration skills and modern frontend system design before my next role.

Built Olympus, a full-stack AI-powered document intelligence platform using Next.js 14, React 18, FastAPI, and GraphQL. Implemented RAG architecture with LangGraph and pgvector for semantic search, designed hybrid state management patterns with React Query and Zustand, and architected real-time streaming for AI agent responses. The project reinforced that great engineering is about thoughtful trade-offs and systems that fail gracefully.

This investment led directly to contract work with Anthropic evaluating AI-generated code for production readiness, bringing together my frontend expertise and applied AI experience.

Now seeking a mission-driven team where React/TypeScript depth and hands-on AI knowledge can help build products that democratize access to critical services.

Developed healthcare analytics solutions by developing Codesets in addition to other key features and building on top of the Universal Cohort Creator for MapLab's enterprise platform. Streamlined patient cohort creation workflows, enabling complex cohort generation in under 10 minutes compared to traditionally lengthy processes. Utilized React, TypeScript, Python, GraphQL, and modern frontend technologies to build intuitive interfaces for healthcare data analysis, contributing to democratized access to real-world insights from 330+ million patient journeys for both technical and non-technical users.

Enhanced KYC/AML solutions by developing features for real-time transaction monitoring and automated SAR filings on the Ongoing Monitoring team. Optimized rule engines, which significantly reduced false positives and ensured compliance with BSA standards. Utilized React and Node to build user-friendly applications, contributing to a secure environment that combats fraud effectively.

Empowered crisis intervention platforms by developing drag-and-drop multi-list board interfaces for simultaneous management of multiple texter conversations and integrating translation APIs for bilingual (Spanish/English) direct messaging support. Improved operational efficiency by 30% and enabled structured workflows for 100+ crisis counselors, facilitating real-time supervisor communication and higher crisis satisfaction metrics. Utilized React, TypeScript, Redux, and REST APIs to build scalable, accessible frontend components, contributing to global mental health support expansion while maintaining strict privacy standards.