Backend and applied-AI engineer with 5+ years shipping production systems end-to-end , from client discovery and architecture design through deployment , monitoring , and iteration . Experienced in LLM agents , RAG systems , AWS , GCP , and Kubernetes , translating business requirements into maintainable architectures
Led end-to-end architecture and deployment of LLM agents, automated diagnostics, integrated third-party comms, enforced API contracts, and containerized services for robust cloud delivery.
Major achievementDesigned and deployed LLM-based diagnostic agents, built backend generator from OpenAPI specs, architected async messaging, migrated schemas to Pydantic v2, standardized Kubernetes deployments.
Developed scalable backend for transaction processing, improved audit and reporting, reduced latency, and enhanced testability and onboarding for engineering teams.
Major achievementBuilt reconciliation workflows for fintech, designed async event-driven pipelines, integrated Snowflake analytics, optimized queries, refactored Django and FastAPI services.
Owned end-to-end delivery of AI-powered chatbots and search engines, integrated NLP and ranking models, automated pipelines, and delivered robust APIs for internal and client use.
Major achievementShipped production RAG chatbot, built intelligent talent-search engine, orchestrated AI/ML workflows with Airflow and Docker, exposed APIs for search and automation.