Pritish Chakraborty is a seasoned software engineer and current MS+PhD student and researcher at IIT Bombay with 12 years of industry experience spanning backend engineering, full-stack deployments, and startup leadership. He co-founded and led engineering at Instahyre, shipping high-velocity product releases and mentoring teams, and later freelanced on Arc.dev while providing paid mentorship on Codementor. Now focused on geometric deep learning and ML for hard graph problems, he also serves as a TA for advanced CS courses and contributes to research-driven software. An active open-source QA/test engineer, he has improved test coverage for prominent astronomy libraries like Astropy and SunPy, demonstrating care for scientific software reliability. This combination of production-grade engineering, startup grit, and reproducible research positions him to bridge deployed systems and rigorous ML research.
12 years of coding experience
6 years of employment as a software developer
The Indian School, New Delhi
Bishop Cotton Boys' School
Indian Institute of Technology Bombay
Engineer’s Degree, Computer Science Engineering, Engineer’s Degree, Computer Science Engineering at Manav Rachna International University, Faridabad
Contributions:182 commits, 1 PR, 2 comments in 8 months
Contributions summary:Pritish's contributions focused on adding and refining unit tests for the `sunpy/sunpy` project. They primarily worked on testing the `Wave` class, including its `__repr__` method, and ensuring the tests used appropriate assertion statements. They also addressed issues with imports and formatting, ultimately improving the test suite's reliability. This effort was concentrated on unit testing, reflecting a focus on quality assurance for the solar physics project.
Contributions summary:Pritish's contributions primarily involve writing and modifying tests for the astropy library, specifically focusing on the `coordinates` module. They added new tests for representation getters and setters within the `test_frames.py` file, including various representation types like Cartesian and Spherical. The user also expanded testing to cover unavailable attributes in specific representations, string inputs, and positional and keyword arguments for SkyCoord objects, working extensively on the `test_sky_coord.py` tests.
astrologypythonscienceastrophysicsastrodynamics
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