Bhumit Chaudhry
ML / Software Engineer & AI Tooling Specialist
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About
Software / ML Engineer and AI tooling specialist with a dual foundation in Computer Science and Data Science. I write systems in Rust and Python that are meant to last — not just ship. I have published open-source packages now used by 1,000+ developers, cut database load by 87% under peak traffic, and consistently delivered production-ready work in teams that move fast. I do my best work when good code matters more than process.
Experience
Software Development Intern at DishTV India Ltd. (2026-01 – 2026-06)
- Redesigned the development workflow using Claude Code sessions across parallel GitHub worktrees, compressing idea-to-production cycles by running simultaneous feature iterations that used to be sequential.
- Took a rough task-management MVP to production-ready in under a week, prioritizing uptime and clean deployment over scope creep.
- Introduced structured Git branching strategies that made rollbacks painless and levelled up collaboration between interns and full-time engineers.
- Containerized staging and testing environments with Docker, achieving reproducible deployments across every environment from day one.
AI Engineer (Contract) at Scale AI (2024-12 – 2025-07)
- Curated multimodal datasets spanning text, images, and code, driving 12–18% improvements across key LLM evaluation benchmarks.
- Maintained a 92.5% precision rate across monthly quality reviews; promoted to Senior Reviewer within the contract term.
- Identified systematic data inconsistencies and authored annotation guidelines that cut rework and measurably improved dataset quality.
Web Development Intern at Giganetix Tech Consulting (2024-06 – 2024-08)
- Developed responsive web applications from scratch, increasing organic traffic by 24.6% over the internship period.
AI Intern at IBM (2021-09 – 2021-10)
- Developed a machine-learning model for crop-yield prediction, reached Top Finalist with a 60% accuracy improvement over the baseline.
- Designed an AI-powered billing and inventory system with anomaly detection that cut data-entry errors by over 40%.
AI Intern at Efkon GmbH (2020-07)
- Architected a collaborative-filtering recommendation engine that achieved 91.6% precision across 12,500+ users.
Education
B.Tech in Computer Science, AI & ML Specialisation – Vellore Institute of Technology, Amaravati (2022-09 – 2026-05)
B.Sc in Data Science & Applications – IIT Madras, Online (2022)
