About
Applied AI engineer with 5+ years building production LLM systems and multi-agent workflows at enterprise scale.
Deep hands-on experience across the AI stack: RAG and semantic search on Amazon Bedrock and OpenSearch, LangGraph and AutoGen multi-agent orchestration, agentic tool-calling (MCP), structured outputs and function calling, plus the LLMOps layer — evaluation, observability, and safety guardrails — that keeps AI products reliable and governed in production.
What I'm looking for
I am looking for AI Tech lead or Lead software Engineer role.
Experience
AI Tech Lead / Senior AI Platform Engineer
InterVision / NWN
Jan 2024 – Present
Lead AI platform architecture for enterprise SaaS — built the LLM inference backend powering live AI products across 10+ microservices and a team of 3–5 engineers.
Architected and shipped agentic AI workflows and multi-agent LLM automation in Python and Go.
Built an Amazon Bedrock gateway exposing internal Lambda functions as MCP tools, enabling Bedrock-based AI agents to take real actions across enterprise ITSM systems — creating support tickets and requesting knowledge-base access.
Designed AppSync, Lambda, and microservices backend infrastructure powering enterprise AI chatbots, integrating Amazon Bedrock (Claude) for grounded, tool-augmented responses.
Implemented LLMOps best practices in production: evaluation frameworks, model/output monitoring, observability, and safety guardrails.
Cut inference and API latency ~25% through query optimization, caching, and service-boundary tuning.
Deployed containerized AI services on Docker/Kubernetes to enterprise uptime SLAs; mentored engineers and drove design reviews.
Amazon BedrockPythonGo
Founding Engineer
MetaKeep (Passbird Research Inc.)
Jan 2022 – Jan 2024
Founding engineer — owned the backend platform end to end, shipping to production in under 3 months at hundreds of thousands of requests/day.
Designed high-throughput microservices; led data modeling across PostgreSQL, MongoDB, and DynamoDB.
Cut API response latency ~30%; partnered with founders on architecture and scalability trade-offs.
PostgreSQLMongoDBDynamoDB
Education
Liverpool John Moores University (via upGrad)
MSc / PGP · Data Science
Certifications
Microsoft Azure AI and Agentic Apps Developer
Microsoft
Jun 2026 – No expiry
Skills
FastAPIGoPythonobservabilitysafety guardrailsmodel monitoringLLM evaluationfunction callingstructured outputsprompt engineeringsemantic searchRAG pipelinesMCP toolsmulti-agent orchestrationAnthropic APIOpenAI APILangChainAutoGenLangGraphAmazon Bedrock
Languages
English (Full professional proficiency)
