about
I build production-grade GenAI systems that reduce manual work at scale. At Deloitte, I architected an enterprise contract intelligence platform using RAG pipelines and multi-agent workflows—cutting legal review time by 65%. 4+ years shipping intelligent systems: LLMs (Google ADK, LangChain, LlamaIndex, LangGraph), semantic retrieval, and full-stack GCP infrastructure.
skills
experience
Deloitte Consulting India Pvt Ltd
AI Engineer
- ▸Architected production-grade GenAI platform using Vertex AI, LangChain RAG, and FAISS for contract intelligence (SoW, Order Forms, Amendments); reduced manual review time by 65%.
- ▸Designed scalable ingestion pipeline (Google Drive → Cloud Storage → Embeddings + BigQuery) processing 2,500+ contracts/month with 95% automated metadata accuracy.
- ▸Built hybrid retrieval engine combining semantic RAG and direct SQL on BigQuery, improving answer precision by 42%.
- ▸Engineered modular A2A architecture using Google ADK and async Pub/Sub event queues; cut query latency from 1.8s to 0.9s.
- ▸Developed multi-stage contract drafting pipeline using chained LLM prompts to extract clauses, validate business rules, and populate standardized templates.
- ▸Extracted and unified contract metadata in BigQuery, enabling structured reporting and 5x faster audit cycle.
- ▸Built library of reusable agent skills standardizing AI outputs across delivery teams, cutting ramp-up time by 50%.
- ▸Created Django dashboard supporting 10K+ monthly queries.
projects
Contract Intelligence Platform
Enterprise GenAI platform for SoW, Order Form, and Amendment intelligence. Reduced manual review by 65% across legal teams with structured output validation.
Gulabi Pani
A full-stack menstrual cycle tracking Progressive Web App (PWA) built for privacy-first, invite-only use. Features AI-assisted period prediction using weighted moving averages, daily symptom and mood logging, a 'Partner Share' read-only token link, admin-controlled user approval flow, email release note notifications, and a rich 'Aurora Glassmorphism' dark-mode UI. Built with Next.js 15 App Router, Prisma (PostgreSQL), NextAuth v5, and Resend for transactional emails.
• Cycle prediction engine using weighted moving averages with configurable luteal phase
• Daily log: symptom tracking, mood, flow intensity, pain scale
• Partner sharing via shareable read-only token links
MileagePro
A mobile-first fuel tracking app for bikes that calculates real-world mileage efficiency (km/L) using the start-fill method. Features automatic mileage calculation per fill-up, interactive charts for fuel spending and consumption trends, live Indian petrol/diesel prices per city via RapidAPI (cached for 12 hours), dark/light mode support, Google OAuth login, and an admin dashboard for viewing all users' statistics and fuel economy insights.
• Live fuel price lookup for Indian cities with 12-hour DB caching
• Automatic mileage calculation per fill-up using start-fill method
• Per-user data isolation with role-based admin access
certifications
AWS Certified Developer – Associate
Amazon Web Services
2025
Deep Learning Specialization
Coursera / deeplearning.ai
2023
CS50's Introduction to Computer Science
HarvardX
2022
Python for Everybody
Coursera / University of Michigan
2021
contact
Open to AI Engineer roles. Let's build something intelligent.