Summary
Jyotirmaya Shivottam is a doctoral researcher in machine learning with eight years of research and software engineering experience, based at NISER Bhubaneswar. He builds and maintains open, reproducible systems for 3D reconstruction and web delivery—leading the design and deployment of Project Tirtha, an automated platform that crowdsources images to generate discoverable 3D heritage models and was presented at ACM Web3D 2023. His background spans scientific computing and numerical methods, illustrated by a GSoC project where he implemented stable, high-performance geodesic solvers in Julia with Python bindings for EinsteinPy and remains a package maintainer. Comfortable across pipelines from SfM-MVS to NeRF and 3DGS, he combines hands-on implementation, literature-driven research, and outreach to make complex vision techniques usable on the web. An understated strength is his track record of adapting and integrating community tools (e.g., AliceVision) for research-grade, production-facing platforms.
8 years of coding experience
Integrated Master of Science, Physics, Integrated Master of Science, Physics at National Institute of Science Education and Research, Bhubaneswar
English, Hindi, Maithili, French