Sr. Lead Full Stack & GenAI Engineer with 12+ years architecting scalable GenAI platforms, real-time systems, and cloud-native applications. Expert in leading cross-functional teams from concept to production, delivering measurable impact through LLM orchestration, type-safe APIs, and microservices architecture.

Specialties:

• GenAI Leadership: Multi-model inference, RAG, tool-calling, fine-tuning
• Full-Stack: Next.js + Drizzle + Turbopack → production-grade systems
• Real-time: WebSocket/WebRTC, 0.5s telemetry (50+ vehicles)
• Performance: 75% API boost, 140ms→20ms rendering, 50ms search

Currently seeking Staff/Principal roles in GenAI platforms, fintech, or collaborative real-time systems.

Built scalable AI workflows for research, drafting, and analysis using Next.js + GenAI integrations. Implemented multi-model inference, prompt monitoring, and event-driven data pipelines with RabbitMQ + cloud-native microservices.

Tech: Next.js | TypeScript | FastAPI | PostgreSQL | AWS | Docker

Developed real-time investment dashboards with portfolio optimization and risk analysis. Delivered type-safe APIs (Next.js + Zod + Drizzle ORM) and Puppeteer automation for cash-flow extraction.

Tech: Next.js | Turbopack | PostgreSQL | AWS SAML | Puppeteer

Engineered end-to-end LLM platform with fine-tuning, tool-calling, and RabbitMQ pipelines for async processing. Implemented GDPR-compliant governance with access controls and audit trails.

Tech: Python | LLMs | Hugging Face | Redis | Docker

Migrated Laravel 6→9 + AngularJS→React 18 with video processing microservice (Node.js + FFmpeg). Achieved 50ms search (MeiliSearch) and 140ms→20ms map rendering optimization.

Tech: React 18 | Laravel 9 | Node.js | FFmpeg | MeiliSearch

Built an end-to-end document processing solution using computer vision and NLP techniques. Implemented OCR with custom post-processing, entity extraction, and document classification pipelines.