Hi, I'm Udit

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.