Hi, I'm Udit

Amazon runs at incredible scale, so tiny inefficiencies can ripple into big customer pain. I joined the Alf team, where I spent time automating analysis of large scale load testing data to keep services fast and reliable.
I built tools to collect and crunch performance metrics, turning hours of manual investigation into repeatable pipelines, and added guardrails so issues surface early instead of slipping into production.

Verily blends data science with healthcare to tackle some of the world's trickiest health problems. I joined the Data Ingestion team where our job was to make sure oceans of healthcare data landed safely in FHIR stores.
I built a Go-based GKE writer service to replace a Beam/Dataflow stage, tuned it to handle large amount of writes fast, and wired up Pub/Sub workflows with retries and DLQs so nothing slipped through the cracks.

Miovision helps cities make traffic less “ugh” and more “ahh” using AI-powered sensors and analytics. I worked on the Platform team, building backend services sing Kotlin, Spring Boot, Kafka, and Postgres. I sped things up with AWS Elasticache caching and tightened Kubernetes health checks for a smoother ride.

Trend Micro is the cybersecurity forcefield guarding clouds, endpoints, and networks worldwide. I was on the Platform team, making it easier for apps to tap into the company's unified security platform. I created Node.js git submodules to handle security integrations (token wrangling included), dockerized sample apps, deployed them to AWS EKS, and automated the whole setup with Terraform/Terragrunt and GitHub Actions.

Idea Notion builds everything from sleek enterprise tools to AI-powered platforms. I joined the Dealer AI team, turning messy dealership processes into sleek digital workflows.
Highlights: a serverless resume-categorizer in Node.js/TypeScript on Azure, React/Tailwind frontends, and chatbots powered up with OpenAI Functions & LangChain — because why shouldn't your car dealer's bot know about torque?

Same great company, different mission.
I worked on the Dealer AI portal, giving dealerships a command center for managing staff, inventory, and services. Built in React/Redux/MUI with a C# .NET backend, supercharged with CosmosDB and MSSQL, and fine-tuned with Redis caching. Bonus: added Microsoft Bot Framework so the bots could book appointments like pros.