I architect agentic AI systems that ship to production. _
6+ years in software engineering, 2+ of them building and running large language model systems — multi-agent orchestration, retrieval-augmented generation, and LLM evaluation at scale.
Building reliable AI systems, not demos
I'm a GenAI & Agentic AI Engineer with 6+ years of software engineering experience, including 2+ years designing and shipping production large language model systems. My focus is the part that's hard: making agents reliable, observable, and cost-efficient once they leave the notebook.
At NTT Data I architected a LangGraph multi-agent platform serving 100+ production agents, built hybrid RAG pipelines over 50K+ documents, and stood up an LLM evaluation and safety framework that catches regressions before they reach users. Before AI, I spent years as a full-stack engineer at Oracle and beyond — which is why my systems come with real APIs, tests, and CI/CD.
I'm currently pursuing an M.Tech in Artificial Intelligence at IIT Jodhpur, and I'm open to roles in Agentic AI, Generative AI, LLM, and AI/ML engineering.
Technical stack
agentic ai
llm frameworks & platforms
rag & vector stores
evaluation & observability
languages & backend
data & cloud / devops
Where I've worked
- Architected a production multi-agent platform on LangGraph with ReAct reasoning, intent routing, persistent DynamoDB memory and Redis caching — cutting median handling time 26% at 96%+ response quality.
- Built a hybrid RAG pipeline over 50K+ documents using dense embeddings, semantic search, Cohere re-ranking and vector databases, reaching 90%+ retrieval accuracy.
- Designed an LLM proxy microservice — a unified multi-model API (Bedrock + OpenAI) with fallbacks, prompt caching, auth, cost instrumentation and audit trails — cutting token costs 60% across 100+ agents.
- Established an LLM evaluation & safety framework combining human-in-the-loop review, LLM-as-judge scoring, guardrails and centralized observability to catch regressions pre-deployment.
Python · LangGraph · LangChain · MCP · A2A · AWS Bedrock · FastAPI · DynamoDB · Redis · Docker · Kubernetes
- Integrated REST APIs and real-time clinical data pipelines into Cerner's EHR platform, enabling live patient-data retrieval across ML-assisted diagnostic workflows with 67% adoption across clinical teams.
- Led platform-wide browser modernization (IE → Edge Chromium), cutting rendering time 85% and CPU usage 33%.
- Built CI-integrated testing with React Testing Library, enabling teams to reach 100% critical-path coverage.
- Awarded the Rising Star Award for delivering the Edge Chromium migration two months ahead of schedule.
React · TypeScript · JavaScript · REST APIs · Node.js · CI/CD
- Engineered real-time chat and search with persistent history for high-traffic applications, lifting user engagement 10%.
- Rebuilt the core transaction flow as a React + Node.js SPA (replacing a legacy multi-page app), cutting processing time 40% and improving retention 25%.
- Created a Node.js production diagnostics module that improved stack-trace quality and cut debugging time for the team.
React · Node.js · JavaScript · REST APIs
Selected work
Multi-Agent AI Platform
Production Agentic AI platform orchestrating 100+ agents with ReAct reasoning, intent routing, persistent memory, tool calling and quality-gated sub-task decomposition. Reduced median handling time 26% at 96%+ quality.
Hybrid RAG Knowledge System
Retrieval-augmented generation over 50K+ documents with dense embeddings, semantic search and Cohere re-ranking against vector databases — 90%+ retrieval accuracy on internal evaluations.
LLM Proxy & Cost Optimizer
Unified multi-model API (AWS Bedrock + OpenAI) with automatic fallbacks, prompt caching, authentication, cost instrumentation and immutable audit trails. Cut token costs 60% across all agents.
LLM Evaluation & Safety Framework
End-to-end evaluation and observability with LLM-as-judge, rule-based validation, guardrails and human-in-the-loop review — surfacing regressions before deployment.
Credentials
M.Tech — Artificial Intelligence
B.Tech — Computer Science & Engineering
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- Oracle Cloud Infrastructure — Certified Generative AI Professional
Let's build something intelligent.
Open to Agentic AI, Generative AI, LLM and AI/ML engineering roles. The fastest way to reach me is email or LinkedIn.