I’m a Software Engineer who loves building distributed systems and AI/ML infrastructure.
- 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, low-latency inference serving, audit/logging
- Designed a flagship API platform at Plainsight Technologies that automates the entire lifecycle of machine learning model training. It handles training, retraining, drift detection, A/B testing, 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. It reduces more than 70% of the input video data. More details can be found here: 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, ML Platform, MLOps, Developer Productivity
- Email: eashanroy7@gmail.com
- LinkedIn: https://www.linkedin.com/in/eashan-roy/


