Crafting elegant solutions at Intuitive Surgical. Specialized in AI/ML, cloud architecture, and building products that matter.
I'm a Sr. Software Architect at Intuitive Surgical with two decades of experience across the full stack. My current focus is building AI-powered tools — LLM integrations, MCP servers, and RAG pipelines — that help engineering teams ship faster and make better decisions.
Before Intuitive, I led cloud migrations at Oportun, built regulatory platforms at the FDA, and specialized in master data management at Informatica. I started my career in India and the UK building financial systems for BNP Paribas and L&T Infotech.
Outside work, I'm usually tinkering with open-source projects, reading about distributed systems, or figuring out how to make samosas that taste like my grandmother's. I believe the best software is built by people who are endlessly curious and a little bit stubborn.
Sr Software Architect
United States
Architecting AI/ML platform serving 5,000+ internal users. Built MCP server framework connecting LLMs to enterprise data. Led migration of monolithic search to Elasticsearch, improving query performance by 10x. Designing RAG systems that process 50K+ documents for engineering knowledge retrieval.
Senior Big Data/Cloud Engineer
United States
Led cloud-native migration of 30+ microservices from on-prem to Azure with zero-downtime cutover. Designed real-time data pipelines processing 1M+ daily transactions using Spark and Kafka. Reduced infrastructure costs by 35% through auto-scaling and reserved instance optimization.
Lead Technologist
United States
Built full-stack regulatory submission platform used by 200+ FDA reviewers. Modernized legacy workflows into React/Node.js microservices, cutting review processing time by 40%. Implemented role-based access control and audit logging for compliance with 21 CFR Part 11.
MDM Product Specialist & Sr Technical Engineer
United States
Led MDM product development for Fortune 500 clients. Optimized data matching algorithms, reducing duplicate detection time by 60%. Mentored team of 8 engineers across frontend and backend development.
Sr Software Engineer
India & United Kingdom
Developed core banking modules for trade finance and settlement systems. Built real-time FX pricing engine processing 10K+ transactions/second. Delivered projects across India and London offices for global financial clients.
Open-source framework for building Model Context Protocol servers that connect LLMs to enterprise data sources. Supports streaming, tool chaining, and multi-model orchestration.
End-to-end translation pipeline automating multilingual content delivery across enterprise products. Integrates LLM-based translation with human review workflows and terminology management.
Retrieval-Augmented Generation system providing instant answers from 50K+ internal documents. Reduced engineer search time by 60% with semantic search and contextual retrieval.
Enterprise MDM platform for the FDA managing regulatory master data across 200+ reviewers. Built data matching algorithms, deduplication pipelines, and audit-compliant data governance workflows.
Production Kubernetes clusters orchestrating 30+ microservices across AWS and Azure. Includes Helm charts, Istio service mesh, auto-scaling policies, and zero-downtime deployment pipelines.
Built end-to-end production systems for startups across POS, data pipelines, real estate services, and more. From architecture to deployment — taking ideas from zero to revenue-generating products.
GPT-4, Claude, LangChain, Hugging Face, TensorFlow, PyTorch, Vector Databases, RAG Systems
FastAPI, Django, Flask, Pandas, NumPy, AsyncIO, Celery, Apache Spark, Airflow
React, Next.js, Node.js, Express, Vue, Svelte, Redux, Jest, Webpack, Vite
AWS, GCP, Azure, Terraform, Docker, Kubernetes, GitHub Actions, Prometheus, Grafana
Docker, Kubernetes, Helm, Istio, Service Mesh, Container Security, Serverless
OAuth 2.0, JWT, HashiCorp Vault, OpenTelemetry, ELK Stack, Splunk, SIEM
Computer Science and Engineering
Acharya Nagarjuna University
2000 – 2004 • Grade: 87%