Ambar Chakraborty

Software Engineer Intern at Google Life Sciences (Verily)

Developed a graph-based visualization system mapping data-flow dependency across hundreds of microservices, enabling teams to trace and detect failure points in multi-hop message requests. Implemented caching and pagination in a TypeScript and React frontend to reduce network calls by 90% in a typical session, enhancing user responsiveness. Built a high-performance Golang backend leveraging goroutines and channels to concurrently compute and stream graph edges via Protobuf over gRPC.

Software Engineer Intern at Federato

Designed interactive BI tools including charts, forms and tables using TypeScript and Angular to ingest and display data for a customer segment contributing $4.5M ARR across enterprise accounts. Built GraphQL REST endpoints with PostgreSQL in Node.js to automate Auth0 identity management, invoice generation workflows and email notifications to 1M+ end users. Implemented Kafka-driven event pipelines within Django microservices to synchronize financial transactions with notification services, reducing latency by 60%.

Software Engineer Intern at Medessist

Built an appointment booking and prescription ordering feature across 600+ pharmacies using TypeScript, Node.js, React and Redux, enabling self-service to customers. Launched a recycle bin feature for appointments with automated cleanup using Java, Spring Boot and Firestore DB, reducing instances of duplicate data entry arising from accidental deletion. Added server-side rendering with Next.js to optimize website load speed and improve search engine visibility by up to 20%.

Software Engineer Intern at WAT.ai

Developed an online Adaptive Random Forest (ARF) model to predict TTC bus delays leveraging 40+ million streamed spatio-temporal data points using River in Python. Built an automated data streaming pipeline in Dagster to fetch and process data, train the ARF model, and store model weights in an AWS S3 bucket.