Manan Agarwal
PhD Candidate
Cambridge, Massachusetts, Netherlands
Summary
👤
Senior🎓
Top SchoolManan Agarwal is a PhD candidate and dual-degree B.E. Computer Science / M.Sc. Physics student with nine years of experience bridging software engineering and astrophysics research. He has built production features at Microsoft and contributed front-end UX improvements to the Astropy tutorials—bringing responsive design, search thumbnails and keyword filters to a widely used astronomy education resource. At MIT he applied machine learning to TESS data to discover rare variable-star phenomena, and his current research at the University of Amsterdam uses high-resolution X-ray spectroscopy with XRISM to study supernova remnants. Comfortable moving between product engineering, research code and scientific simulation, he pairs pragmatic software skills with observational astrophysics expertise. Notably, his background includes both large-scale product impact (OneDrive/SharePoint features used by millions) and open-source contributions that accelerate astronomy education.
9 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceHigh School, Science (PCM) with Computer Science, CBSE XII - 94.6%, X - 10/10, High School, Science (PCM) with Computer Science, CBSE XII - 94.6%, X - 10/10 at Navrachana school sama
Sanskrit, Hindi, English
Github Skills (10)
searchbar10
responsive-design10
javascript10
ui-design10
searchbox10
html9
css9
bootstra8
bootstrap8
jupyter7
Programming languages (5)
Github contributions (5)
astropy/astropy-tutorials
Jul 2018 - Sep 2019
Tutorials for the Astropy Project
Role in this project:
Front-end Developer
Front-end DeveloperContributions:38 commits, 7 PRs, 37 comments in 1 year 1 month
Contributions summary:Manan primarily focused on enhancing the user interface of the Astropy tutorials website. Their contributions include integrating a new tutorials theme and adding thumbnail previews for search results. Furthermore, they added filter search functionality, improved the Learn Astropy logo, and optimized the site's responsiveness across different devices. They also incorporated keyword categorization to enhance the tutorial browsing experience.
jupyter-bookpythonsciencesimulationlearn-astropy
MananAgarwal/ACM-Blog
Jul 2017 - Aug 2017
Contributions:51 commits, 46 pushes, 2 branches in 20 days
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