Building the future of technology, one commit at a time.
Contributing to open source through Google's Summer of Code mentorship program.
Developing a dedicated pipeline that bridges LSST data access tools with DeepLense deep learning workflows for efficient retrieval, preprocessing, and transformation of LSST images and catalogs for gravitational lensing studies.
Developed a configurable quicklook dashboard for X-ray astronomy data analysis using the Stingray library, facilitating visualization of light curves, periodograms, Cross spectra, Power Spectra, Average Power Spectra, Dynamical Power Spectra and spectral colors with interactive data exploration.
Python CLI tool to aggregate code files & directory structure into one file, perfect for LLM context preparation. Features interactive file selection, multiple output formats, and smart code analysis.
Published on PyPI with 12 releases
Helped bring an outdated astronomical data analysis GUI back to life. The application hadn't been updated in 8 years, so I worked on modernizing the entire technology stack.
Made the tool usable again for astronomers analyzing X-ray data
Key milestones in my open source contribution journey.
It was the first time I submitted a ticker to the devs describing a peculiar issue I was facing
Got to know the workflow of how dev setup works
Accepted into Google Summer of Code with Open Astronomy (Stingray)
Accepted into Google Summer of Code with ML4Sci (DeepLense)
I'm always excited to collaborate on open source projects that make a difference to science and tech.