I’m a Software Engineer focused on backend, distributed systems and AI/ML infra - building and optimizing APIs, distributed services, and infrastructure for AI applications.
- Backend & distributed systems: API design, data modeling, concurrency, reliability, performance, high-scale
- Platform/infra: CI/CD, cloud deployments, Kubernetes, observability, authn/authz
- MLOps: automating deployment of machine learning models at scale, edge optimization, audit/logging
- Designed and developed a flagship API platform that automates end to end computer vision model training lifecycle at Plainsight Technologies. It handles training, retraining, drift detection, deploying versioned model artifacts, experiment tracking, and evaluation. https://api.prod.plainsight.tech/docs
- Developed an open-source frame deduplication component that uses motion analysis, perceptual hash and SSIM to skip redundant video frames and helps reduce GPU inference cost. We were able to reduce more than 70% of the input video data using this. https://github.com/PlainsightAI/filter-frame-dedup
- Inducted into the Society of Distinction as one of the top 100 graduate students at Northeastern University for exceptional leadership and academic impact (selected from 20,000+ students across 13 global campuses) https://news.northeastern.edu/2025/04/15/laurel-scroll-induction-ceremony-2025/
- Backend, MLOps, Platform/Infrastructure, Developer Productivity
- Email: eashanroy7@gmail.com
- LinkedIn: https://www.linkedin.com/in/eashan-roy/


