Professional Experience

Leading full-stack AI and systems architecture for a data-intensive operations platform, establishing scalable patterns for model inference, memory-augmented generation, and real-time telemetry pipelines.

Key Achievements

• Architected a multi-agent AI incident mitigation control plane, integrating NestJS, BullMQ, and Redis to resolve 95% of database deadlocks and server lockouts automatically
• Built low-latency RAG ingestion and chunking systems using pgvector and Pinecone, reducing telemetry search context lookup times by 40%
• Designed and shipped real-time observability dashboards handling high-frequency telemetry logs, reducing operational reporting latency by 60%
• Implemented Monaco-based interactive playground editors and schema-guided validation with Zod to secure LLM configuration routing
• Defined validation architecture using TanStack Query and Zod, ensuring reliability for large-scale data synchronization

Technologies Used