Rishabh Jain is a Senior Software Engineer with seven years of experience building production-grade systems at Viasat, spanning web APIs, ETL pipelines, and cloud-native infrastructure. He combines a strong ML focus—pursuing a Georgia Tech OMSCS with machine learning specialization—with hands-on work in anomaly detection and traffic classification for ISP telemetry. Currently he helps run Kubernetes developer clusters using GitOps (ArgoCD), Helm/Kustomize, Prometheus, and GitHub Actions to streamline CI/CD and observability. Earlier roles show full-stack chops: Django/Angular web apps, Node.js REST services, and automated scraping with Scrapy/Selenium for competitive intelligence. Rishabh also mentors junior engineers and interns, and has a practical knack for turning research-inspired methods (e.g., MacroBase-style analytics) into scalable pipelines. Based in Faridabad, he looks for opportunities to apply ML research to real-world network and infrastructure problems.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, 3.5, Master of Science - MS, Computer Science, 3.5 at Georgia Institute of Technology
Bachelor of Technology - BTech, Computer Science, 7.38, Bachelor of Technology - BTech, Computer Science, 7.38 at Shiv Nadar University
This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
Contributions:119 commits, 60 PRs, 109 pushes in 4 months
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