GenAi/Backend
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MTS-4 at ThoughtSpot with 4+ years of experience building scalable backend systems, distributed platforms, and production-grade Agentic AI infrastructure.
As the sole engineer on the Chief Architect’s team, I built an enterprise AI agent platform from 0 to 1 that became the foundation for ThoughtSpot’s customer-facing AgentSpot product.
I work across agent runtimes, multi-agent orchestration, tool calling, agentic workflows, remote agent execution, agent memory, MCP integrations, sandboxed Python execution, human-in-the-loop workflows, LLM evaluation, and observability.
I have also built enterprise RAG and AI assistant systems using ingestion pipelines, hybrid and semantic search, embeddings, vector databases, metadata filtering, reranking, and grounded generation.
My backend work includes Python, FastAPI, APIs, microservices, asynchronous workflows, distributed systems, Docker, Kubernetes, multi-tenancy, security, reliability, and LLM latency and cost optimization.
