Sai Poruri
Chief Executive Officer at Saryan Vigyan Foundation
Hyderabad, Telangana, India
Summary
🤩
Rockstar🎓
Top SchoolSai Poruri is a seasoned software leader and CEO with 12 years of experience building scientific and desktop applications, modernizing legacy codebases, and leading cross-functional teams. He combines deep hands-on Python expertise—demonstrated by contributions to prominent open-source projects like Jupyter, mlflow, IPykernel, and Mayavi—with product and architectural leadership developed during a long tenure at Enthought. Sai has led large migrations (Python 2 to 3), delivered AI-driven desktop and web apps for scientific and drug-discovery workflows, and driven testing and CI improvements across projects. As CEO of FOSS United and Head of Software at SoftCircuits, he blends open-source stewardship with operational leadership and advisory work in the nonprofit sector. His background in physics from IIT Madras and a graduate certificate in Tech & Policy gives him a rare mix of rigorous technical training and policy-minded perspective. Notably, he often focuses on refactoring and modernization work that reduces technical debt while enabling rapid feature delivery.
12 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology MadrasGraduate Certificate in Public Policy, Technology and Policy, Graduate Certificate in Public Policy, Technology and Policy at The Takshashila Institution
English, Hindi, Telugu
Stackoverflow
281reputation
23kreached
3answers
2questions
Github Skills (37)
qt10
python10
jupyter10
testing10
ipython10
mlflow10
refactor10
kernel10
code-migration10
deep-learning10
pose-estimation10
computer-vision10
refactoring10
mayavi10
documentation10
Programming languages (11)
Github contributions (5)
enthought/mayavi
Oct 2018 - Oct 2021
3D visualization of scientific data in Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:48 reviews, 25 commits, 25 PRs in 3 years
Contributions summary:Sai primarily focused on improving the testing infrastructure and test coverage within the mayavi repository. Contributions include updating tests related to source objects, refactoring test code, and fixing test failures due to build issues. These changes involved modifying test files to ensure correctness and updating configurations related to the continuous integration (CI) system.
python3d-visualizationscientificreglscientific-data
DeepLabCut/DeepLabCut
Apr 2022 - Aug 2022
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Role in this project:ML Engineer
ML EngineerContributions:9 reviews, 12 commits, 12 PRs in 3 months
Contributions summary:Sai's commits primarily revolve around the modification and enhancement of the DeepLabCut codebase, a tool for markerless pose estimation. Their work includes updating the repository's organization name, adding API documentation to the Jupyter Book documentation, refactoring code, and adding more API documentation, indicative of maintaining, documenting, and refining the software's core functionality and user interface. This demonstrates a focus on improving the software's usability and its educational materials. The user's focus is on the implementation of the system and improving the user's interaction with the library.
pytorchkeypoint-detectiondefinedmarkerlessdeep-learning
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