About Me
Senior Software Development Engineer at Amazon with 7+ years of experience building high-scale distributed systems and AI-powered applications. I specialize in designing multi-tenant architectures, implementing Agentic AI solutions, and leading cross-team initiatives that impact millions of users.
At Amazon, I've architected and delivered critical systems include a multi-tenant email platform handling 2M+ daily emails, pioneered the 'Pincite' AI citation agent that reduced processing time by 60% (saving 5,500 hours annually), and led the development of AI-powered Generative Contract Analysis achieving 95%+ accuracy.
I hold a Master's degree in Computer Science with specialization in Data Science from the University of Southern California. My technical expertise spans AWS Bedrock, LangChain, RAG workflows, Multi-agents, microservices architecture and full-stack development. I'm passionate about leveraging AI/ML to solve complex real-world problems at scale.
Core Competencies: Distributed Systems, AI/ML, Multi-tenant Architecture, AWS Service, Technical Leadership
My Skills
AI/ML
AWS Bedrock, LangChain, RAG, Agentic AI, Tensorflow
Architecture & Systems
Microservices, Distributed Systems, Multi-tenant, Kafka
Languages & Frameworks
Python, Java, NodeJS, TypeScript, React, Spring Boot
DevOps & Cloud Services
AWS (EC2, S3, Lambda, DynamoDB), Docker, Kubernetes
Professional Experience
-
Amazon
July 2020 - Present
Software Development Engineer II
• Pioneered 'Pincite' AI citation agent using AWS Bedrock & Textract, reducing processing time by 60% and saving 5,500 hours annually
• Architected multi-tenant email platform handling 2M+ daily emails with 100% traffic migration and zero downtime.
• Led AI-powered Generative Contract Analysis achieving 95%+ accuracy across 20,000+ terms
• Designed Counterparty Database impacting 1.9M+ contracts, leading team of 4 engineers
• Operational Excellence lead: achieved 62% reduction in hotfixes through automated testing and enhanced telemetry. -
Yahoo
May 2019 - August 2019
Software Developer Intern II
• Scaled mobile authentication for Yahoo TV apps impacting 80M users.
• Developed Android SDKs and iOS modules with exhaustive unit testing in Objective C, Swift and Kotlin -
Olacabs
July 2017 - June 2018
Software Development Engineer
• Reduce re-allotment API response time by 50% using asynchronous NodeJS processing
• Optimized high-throughput caching via Redis Cluster achieving 0.95 hit ratio
• Implemented alerting for over speeding in driver app to monitor driver safety
• Deployed weekly production code on AWS EC2 instances, debugged & resolved various application issues -
Thoughtfocus
January 2017 - June 2017
Software Developer
• Team lead of the ServiceNow development team; led the team to automate email notifications sent to clients & business groups with HTML, CSS and JavaScript
• Integrated SonarQube scanner with Jenkins builder improving by 10% inspection of code quality -
Inmile
January 2016 - September 2016
Full Stack Developer
• Co-founded a startup & designed architecture of android application on top of MVC Framework with NodeJS, AngularJS, Express, and MongoDB
• Won award for best idea & implementation in Inter College Pitching Event, 2016
Featured Projects
Contract Lifecyle Review
Built Multi-agent system using LangGraph and AWS Bedrock (Claude 3.5) with 4 specialized agents (Parser, Risk Analysis, Compliance, Summarizer). Implemented parallel processing, state management and intelligent routing for agent coordination.
Tech: LangGraph, AWS Bedrock (Claude 3.5), Multi-Agent Orchestration
Agentic Advanced RAG
Developed Autonomous Research Agent System using LangChain, Claude 3.5 and Pinecone Vector DB. Implemented hybrid search and multi-agent orchestration for intelligence document retrieval across 1M+ documents.
Tech: LangChain, Claude 3.5, Pinecone, AWS Textract, RAGn
CarmaCam
Built machine learning model using OpenCV, Tensorflow & LSTMs to detect illegal lane changes and impaired driving behaviour. Real-time video analysis for road safety improvement.
Tech: OpenCV, Tensorflow, LSTM, Computer Vision, Python
Yelp Recommendation System
Won USC competition for building recommender system with collaborative filtering, XGBoost, sentiment analysis, and Map-Reduce to predict user ratings for businesses with high accuracy.
Tech: XGBoost, Collaborative Filtering, Map-Reduce, NLP
Awards & Recognition
3rd Place
Amazon LegalTech AI Hackathon 2025
2nd Place
Amazon LegalTech Hackathon 2024
Voice of Customer
Amazon People Experience Tech 2021
Education
University of Southern California
Master of Science in Computer Science, specialisation in Data Science, GPA: 3.71/4
Jaypee Institute of Information Technology
Bachelor of Technology in Computer Science Engineering, 8.9/10
Let's get in touch!
If you feel like saying Hi to me, want to know more about my work or are up for discussing crime-fiction & thriller novels, shoot me an email! Let's connect! :)
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