Hi, I'm Om
I build software that solves real problems. Passionate about open source, scientific computing, and turning complex ideas into clean, working code.
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Work, experience, writing, and everything else — split into dedicated pages for easy navigation.
About Me
A bit more about who I am and what I work with.
I'm Om S Habib, a software developer and open source contributor based in Bengaluru, India. I'm currently pursuing a B.Tech in Computer Science (AI & ML) at Medhavi Skills University.
My work spans scientific computing, machine learning, and full-stack development. I contributed to Google Summer of Code 2026 under OpenAstronomy, building a high-performance spectral timing library in Julia. I've also worked on astrophysics research, ML-based prediction models, and developer tools.
I enjoy writing clean, well-documented code and contributing to projects that have real-world impact. When I'm not coding, I'm usually reading research papers, exploring new frameworks, or writing about what I've learned.
Technical Skills ✏️
Languages
ML & Data Science
Engineering & DevOps
Web & Databases
Education
Projects
Products, experiments, and open-source work.
- Engineered a high-performance spectral timing library in Julia, architecting core data structures (Powerspectrum, Crossspectrum) to process NASA HEASARC datasets.
- Implemented cross-spectral pipelines and Lomb-Scargle periodograms for X-ray reverberation analysis, accelerating processing by over 50%.
- Added support for Leahy, Fractional RMS, and Absolute RMS normalizations with rigorous Poisson noise testing.
- Built an end-to-end ML pipeline using NASA's Kepler and TESS exoplanet datasets to classify planet habitability.
- Achieved 92% classification accuracy using ensemble methods (Random Forest, XGBoost) on atmospheric and orbital parameters.
- Engineered feature extraction pipelines for stellar luminosity, equilibrium temperature, and habitable zone distance metrics.
- Built an interactive web-based spectral simulation tool integrating RADIS for high-resolution infrared molecular spectra.
- Implemented real-time visualization of absorption and emission spectra for various atmospheric molecules (CO₂, H₂O, CH₄).
- Designed a clean UI for adjusting temperature, pressure, and path length parameters with instant spectral updates.
- Engineered a modular scientific Python library for exoplanetary biosignature detection with scalable atmospheric modeling.
- Developed data pipelines with optimized caching, accelerating astronomical data retrieval by over 30%.
- Integrated Sphinx documentation and Dependabot CI/CD for production-grade infrastructure.
- Analyzed an urban mobility dataset of 10,000+ records to extract seasonal usage patterns via advanced EDA.
- Trained a predictive model using Scikit-Learn to forecast hourly bike demand for fleet optimization.
- Engineered preprocessing pipelines handling outliers, improving predictive reliability by 15%.
Experience
Internships, open source contributions, and certifications.
Google Summer of Code (GSoC)
Student Developer — Stingray.jl, OpenAstronomy
- Engineered a high-performance spectral timing library in Julia, architecting core data structures (Powerspectrum, Crossspectrum) to process multi-gigabyte NASA HEASARC datasets.
- Optimized cross-spectral pipelines and Lomb-Scargle periodograms, accelerating processing by over 50% for X-ray reverberation analysis.
- Refactored codebase into type-safe modules with advanced Fourier operations, achieving numerical parity and reducing memory by 30%.
Research Intern — Astrophysics
EduTech Life Pvt. Ltd. • Spring Fest, IIT Kharagpur
- Researched the Equation of State of Ultra-Dense Matter, synthesizing multi-messenger constraints from neutron star observations.
- Analyzed observational data across electromagnetic and gravitational-wave channels, applying statistical modeling to constrain dense-matter parameters.
- Delivered a project showcasing competencies in stellar astrophysics and multi-messenger astronomy.
Open Source Contributions
Contributions to established open source projects.
Astropy
Core Astronomy Library • Documentation
Authored comprehensive docstrings for the CIRS coordinate frame, enhancing accessibility of core astronomical tools.
RADIS
High-Resolution Spectra Code • CI/CD
Restored Codecov support in CI/CD pipelines. Optimized codebase by deprecating obsolete JSON parsing functions.
Achievements & Certifications
ISRO Bharatiya Antariksh Hackathon
Submitted an innovative idea on subsurface lunar detection, presented by ISRO and powered by Hack2Skill, addressing real-world space exploration challenges.
Astrophysics Certification
Completed a research program in observational astronomy, stellar/galactic astrophysics, cosmology, and exoplanet studies.
NSDC Certified Trainings
Earned professional certifications in Data Science (ML, data visualization, predictive modeling) and Web Development.
Technical Assistance — Polaris Vibathon
Volunteered for Asia Books of World Records Award Winning Vibathon backed by Y Combinator, Replit, OpenAI, and PeakXV.
Blog
Notes on building, open source, and what I've learned along the way.
From Photons to Power Spectra: Journey with Stingray.jl
The final week of GSoC is here. Three months ago, I was an undergraduate with a deep fascination for black holes and neutron stars. This is the story of how we built a high-performance spectral timing engine.
Read on Blogger ✏️Coding Spectral Timing into Julia
Deep dive into implementing cross-spectral analysis, frequency rebinning, and Lomb-Scargle periodograms in Julia — the core of our GSoC deliverables.
Read on Blogger ✏️From Proposal to Prototype: Community Bonding
The community bonding period — setting up the project structure, understanding the Python Stingray codebase, and planning the Julia port with my mentors.
Read on Blogger ✏️The Start: My GSoC Acceptance Story
How I got into Google Summer of Code — from discovering OpenAstronomy to writing the proposal and getting selected for the Stingray.jl project.
Read on Blogger ✏️GSoC 2026 — Final Report
Spectral Timing in Julia • OpenAstronomy • Stingray.jl
Project Overview
The goal was to port the powerful spectral-timing capabilities of the Python Stingray library to the Julia ecosystem. When dealing with millions of X-ray photons and computing averaged cross-spectra over thousands of segments, Julia's speed becomes a game-changer. Over three months, I built a complete high-performance spectral timing engine from scratch under the OpenAstronomy umbrella.
What Was Delivered
High-Level Spectral Types — Implemented Powerspectrum and Crossspectrum struct types from scratch with a clean, type-safe API.
Mission-Specific FITS Support — Added telescope-specific event file readers for NICER, NuSTAR, XMM-Newton, and RXTE.
Frequency Rebinning — Implemented both geometric (logarithmic) and linear frequency rebinning for broadband noise studies.
Robust Normalizations — Added Leahy, Fractional RMS, and Absolute RMS normalizations, tested against Poisson noise statistics.
Lomb-Scargle Periodograms — Ported the Lomb-Scargle algorithm to handle unevenly sampled astrophysical data.
Fourier Utilities & Testing — Ported shift_and_add for dynamic spectral analysis. Integrated Codecov for test coverage.
Contact
Open to collaborations, opportunities, and interesting conversations.
Let's connect ✉️
I'm currently open to new collaborations, open source contributions, internships, and interesting technical challenges. Feel free to reach out — I'd love to hear from you.
Omhabib311@gmail.com