Building intelligent products where AI meets scalable engineering.
Senior Full Stack & GenAI Engineer with 5+ years building RAG systems, AI agents, intelligent automation, and cloud-native applications at production scale.
Selected Work
AI Engineering Projects
GenAI Lead Intelligence & Outreach Platform
Accelerated pre-sales research by approximately 60% through LLM-powered company profiling, lead enrichment, and automated outreach generation.
Enterprise RAG Q&A Assistant
Enabled natural language queries over enterprise information through a semantic retrieval and LLM generation pipeline.
AI-Powered Invoice Processing System
Automated financial document extraction using Vertex AI OCR and structured data parsing, improving processing efficiency by 40%.
Sentiment Call Analyzer
Automated call transcription and sentiment analysis using Google Cloud Speech-to-Text and BigQuery, improving insight delivery speed by 25%.
Capabilities
Four areas of depth
AI systems, product delivery, cloud infrastructure, and team leadership.
AI Systems
End-to-end intelligence pipelines from retrieval to generation.
- RAG & Semantic Retrieval
- Agentic Workflows (LangGraph)
- Prompt Engineering & Grounding
- LLM Application Development
Product Engineering
Full-stack products built for real users and production loads.
- React / TypeScript Frontends
- Python & Node.js Backends
- REST APIs & Auth (Auth0)
- Role-Based Access Control
Cloud Architecture
Scalable, cost-efficient infrastructure on AWS and GCP.
- AWS (ECS, ECR, Lambda, Bedrock)
- GCP (Vertex AI, BigQuery, Speech)
- Docker & CloudFormation
- CI/CD & DevOps Pipelines
Engineering Leadership
Technical direction, delivery, and cross-functional alignment.
- Team lead — 5 engineers
- Technical execution & code quality
- Client communication & delivery
- Business-aligned architecture
Experience
Career
Rakuten India
Senior Software Engineer
Building GenAI pipelines for lead enrichment, email automation, and content generation on the Rakuten SixthSense platform.
~60% improvement in pre-sales research speed through automated lead enrichment
Improved SDR pipeline quality and engagement rates via personalized AI-generated outreach
Aligned platform branding across new and existing codebases
DataGrokr Analytics Private Limited
Software Engineer
Full-stack and AI engineering across RAG systems, cloud infrastructure, invoice automation, and call analytics.
25% improvement in insight delivery through automated sentiment analysis
40% increase in financial data processing efficiency via AI-powered invoice processing
25% reduction in operational costs through automated cloud infrastructure management
Technology Stack
Engineering ecosystem
AI & LLM
RAG · Agentic AI · LangChain · LangGraph · LangSmith · Prompt Engineering · AWS Bedrock · Vertex AI · OpenAI · Mistral
Product Engineering
Python · TypeScript · JavaScript · React · Node.js · Flask · REST APIs · Auth0 · HubSpot
Cloud & Data
AWS · GCP · Docker · ECS · ECR · CloudFormation · BigQuery · SQL · NoSQL
Tools & Platforms
Claude Code · GitHub Copilot · Cursor · Git · JIRA
Recognition
Track record
Engineering Leadership
Led a team of 5 engineers across full-stack and AI projects
Drove technical execution, code quality, and business alignment
Managed client communications and project delivery via JIRA
Recognition
Awarded for best work performance in Q1 of 2022.
Awarded for best work performance in Q3 of 2023.
Credentials
Get In Touch
Let's build intelligent, reliable products.
Open to Senior AI Engineer, Generative AI Engineer, and Full Stack engineering opportunities.