Sangarshanan Veera is a software engineer with nine years of experience building data-driven systems and music tech, currently researching music recommendation and embedding strategies at Deezer while completing a Master's in Sound and Music Computing. He blends backend, MLOps, and research experience from roles at Beatoven.ai—where he helped deploy ethically trained music generation models and production inference on Kubernetes with Ray Serve—and Blinkit, where he managed Airflow, JupyterHub, and real-time Flink pipelines. A pragmatic full‑stack developer, he has hands-on experience with PyTorch, Torchaudio, FastAPI, vector databases, and geospatial tooling, and contributes to notable open-source projects such as geopandas by improving documentation and file-like object support. Comfortable moving models to production, he focuses on reproducible pipelines and scalable inference for creative ML applications. Based in Spain but with international experience, he also brings an unusual side interest in conservation outreach from his exchange work in China, reflecting a broader curiosity beyond code.
9 years of coding experience
6 years of employment as a software developer
12th Standard, Physics Chemistry Maths & Computer science, 12th Standard, Physics Chemistry Maths & Computer science at Chennai Public School
Computer science with specialization in bioinformatics, Computer Science, Computer science with specialization in bioinformatics, Computer Science at Vellore Institute of Technology
Master in Sound and Music Computing, Master in Sound and Music Computing at Universitat Pompeu Fabra
Contributions:10 reviews, 7 commits, 11 PRs in 1 year 2 months
Contributions summary:Sangarshanan contributed to the project's documentation by adding examples, changelogs, and clarifying the use of file-like objects. They also modified code to improve the documentation's structure and content. Additionally, the user made enhancements to the project's code by adding support for reading file-like objects, and checking for duplicate column names. They also enhanced the from_dict method to accept crs and geometry parameters.
Contributions:113 commits, 103 pushes, 1 branch in 1 year 1 month
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