Bipin P
Software Engineer (ML) at Desia
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolBipin P is a London-based Software Engineer (ML) with seven years of experience building production-ready ML systems and developer tooling, now focused on evaluation and memory for LLMs at Desia. He transitioned from a mechanical engineering background into ML, pairing a practical systems mindset with model-focused research and deployment expertise. Bipin has shipped energy-sector AI products—chatbots and agent systems that analyze industrial energy data—and built data pipelines, model registries and inference APIs in previous roles. He contributes to open source ML infrastructure, improving UX and cross-backend functionality in projects like OpenMined’s PySyft and the Ivy framework, including work on CLI polish, loss functions and device-shifting for multi-backend execution. Comfortable across the full stack, Bipin combines benchmarking and autotuning experience with hands-on model engineering, an unusual blend that helps bridge research prototypes to reliable, observable production services.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Mechanical Engineering, Bachelor of Technology - BTech Mechanical Engineering at College of Engineering Munnar - IndiaMaster of Science - MS Big data science, Master of Science - MS Big data science at Queen Mary University of London
Github Skills (25)
ivy10
pytorch10
rich-text10
python10
machine-learning10
deeplearning-ai10
deep-learning10
tensorflow10
rich-editor10
neural-network10
rich-text-editor10
converter9
dockers9
numpy9
docker9
Programming languages (5)
Github contributions (5)
ivy-llc/ivy
Dec 2022 - Dec 2022
Convert Machine Learning Code Between Frameworks
Role in this project:
ML Engineer
ML EngineerContributions:106 reviews, 2 commits, 30 PRs in 19 days
Contributions summary:Bipin primarily contributed to implementing and testing machine learning loss functions within the Ivy framework. Their work includes adding the binary cross-entropy with logits loss, as well as refactoring and improving existing loss function implementations. They also created test functions and contributed to the testing infrastructure to ensure the correctness of the new features and overall functionality of the machine learning library.
pythontensorflowframework-learningtemplatedata-science
OpenMined/PySyft
Nov 2022 - Nov 2022
Perform data science on data that remains in someone else's server
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:7 commits, 2 PRs, 6 comments in 12 days
Contributions summary:Bipin primarily contributed to the `hagrid` CLI tool, enhancing the user experience by adding progress indicators and spinners during the launch process. They modified the CLI code, integrating rich text features for improved output formatting and also addressed linting issues. Furthermore, the user made changes related to the frontend login page and the syft package by updating version references and adding a BetaBadge. These commits involved both frontend and backend elements of the project.
pytorchcryptographyacquiringpythonscience
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