Led a 5-engineer team delivering systems that processed 4B+ API requests
Shipped zero-downtime deployments and billing systems handling real money at scale
Drove engineering culture through code reviews, mentoring and cross-functional ownership
Expertise
Skills proven in production, with the numbers to back them
I ship production-grade AI chatbots and multi-agent systems for enterprise clients using LangGraph, CrewAI, and FastAPI. From prompt design to agent orchestration, not just demos.
I design infrastructures that scale and bills that shrink. I cut monthly AWS spend from $18K to $9K while running EC2, S3, Lambda, and ECS workloads at 99.995% uptime.
I build high-performance REST and GraphQL APIs with Flask, Aiohttp, and Ariadne. The systems I built behind CricketAPI handle 50,000 requests every hour, at average load.
I engineer storage that survives scale: Cassandra, DynamoDB, Redshift, MySQL, and Athena. I designed the system holding 13 years of ball-by-ball cricket match data.
I grow engineers, not just codebases. I led a team of 5 from junior developers to independent contributors through code reviews, mentoring, and real ownership.
Career
Building scalable systems. Leading teams. Driving impact.
Portfolio
Solutions I've built that made a real impact
Usage-based billing system for sports data APIs with Stripe and Razorpay payment gateway integrations.
Real-time data editing platform for live sports coverage with sub-second latency.
CI/CD pipeline for deploying frontend, backend, and Lambda functions with canary deployments.
Enhanced internal application framework with search integration and serverless orchestration.
Insights
Complex concepts explained through stories and real-world analogies
A storytelling approach to database optimization - making complex indexing concepts intuitive and memorable.
Building resilient AWS API infrastructure with proper monitoring, auto-scaling, and failover strategies that let you sleep peacefully.
Understanding caching concepts through real-world analogies - because the best explanations are the ones you remember.
About Me
It started at Amazon, where I joined as an ML Data Associate. Beyond the core role, I built internal tools using Flask and SQLite for my team, and got the opportunity to work with the Kindle Team on an Ion Viewer. That taste of building real software sparked something - I wanted more.
So I joined Roanuz, where a small team was building something ambitious. Over six years, I grew from writing production Python code to leading a team of five engineers, architecting systems that would eventually handle 4 billion API requests. I also worked extensively on AWS - building and managing the infrastructure that powered our APIs. Those years taught me everything - from debugging 3 AM production issues to designing billing systems that process real money.
Today, I'm a Senior Consultant at Thoughtworks, and I keep seeking new frontiers. After years of API development, I've dived into the world of LLMs, building AI agents with LangGraph and CrewAI. I'm also deeply interested in understanding the complete lifecycle of a project - from code to infrastructure, including the DevOps challenges that come with running systems at scale. What drives me hasn't changed - a deep curiosity and admiration for people who find innovative ways to solve problems. Whether it's a database query, a CI/CD pipeline, or an AI agent, I find joy in building elegant solutions to complex challenges.
Always exploring new technologies and approaches to solve problems more elegantly.
I believe in writing clean, maintainable code that stands the test of time.
Focused on building solutions that create real value and scale to millions.