Data team, Streaming Platform

• Designed and built a near-realtime API sink connector with a self-serve declarative config to Braze, using Python, AWS lambda.

• Handles 60-100 million events per day with p95 latency under 3s, with monitoring support via Datadog and infrastructure deployment automated via Terraform and CI/CD.

As a Course Grader for CSCI 576 – Multimedia Systems Design, I was responsible for evaluating graduate-level coursework in a technically rigorous class that covered topics such as image, video, and audio compression (e.g., JPEG, MPEG-1/2/4, H.264, MP3, AAC), multimedia content creation, distribution technologies, DRM, and multimedia networking systems. I assessed and graded complex programming assignments in Python, Java and C++ for midterm and final exams, and final projects that required understanding of signal processing, compression standards, and multimedia systems architecture.

• Developed microservices for real-time user room creation, user matching and multiplayer quizzes using NodeJS, TypeScript, Express, Socket IO, MongoDB and Lerna.

• Deployed using Docker, Kubernetes. Currently 1000+ live users.

• Created a CLI for boilerplate creation of microservices using NodeJS.

• Implemented a Messaging Queue Library for Pub - Sub communication using Redis Streams.

• Developed the complete Mobile application for ‘LyveNote’ - a virtual classroom platform published on the Play Store.

• Implemented features such as Messaging Interface with file selection, URL link preview, replies, attachments, login, dashboard and video preview. Used React Native, Expo-CLI, Formik, Yup, Axios and Firebase notifications.

https://play.google.com/store/apps/details?id=com.anomaly.lyvenote