Om S Habib

The Developer

Software Developer & Open Source Enthusiast based in Bengaluru. Pursuing a B.Tech in CSE (AI & ML) at Medhavi Skills University. Currently focused on Space Tech and Statistical Machine Learning.

Passionate about Open Source. Currently engaged with GSoC 2026 implementing high-performance Spectral Timing algorithms in Julia (Stingray.jl), and building predictive analytics pipelines.

Read the Work Contact

Mission Log

Advancing Open Source & Analytics

Active contributions include writing Julia packages for the Spectral Timing project, deploying Streamlit environments (Bionium X), and establishing End-to-End ML pipelines for Demand Prediction.

Om S Habib
Fig 1.1: Developer Profile

Professional Background

Career
Trajectory

A chronology of software exploration, open source collaboration, and building high-performance solutions across various stacks.

Google Summer of Code (GSoC)

Student Developer (Stingray.jl)

May 2026 - Present
  • Spearheaded the "Spectral Timing in Julia" project by engineering a high-performance library and architecting comprehensive data structures (e.g., Powerspectrum) to analyze multi-megabyte FITS event files.
  • Implemented cross-spectral pipelines and the Lomb-Scargle periodogram, enabling robust analysis of X-ray reverberation and quasi-periodic oscillations (QPOs).
  • Refactored the codebase into granular, type-safe modules with cache-friendly Fourier operations for strict numerical parity.
Julia Astrophysics Data Science

Open Source Contributions

Astropy

Documentation, OpenAstronomy

Authored comprehensive docstrings for the CIRS coordinate frame to enhance developer and user documentation.

RADIS

CI/CD, API Maintenance

Restored Codecov support, strengthening CI pipelines. Optimized repository codebase by deprecating obsolete JSON parsing functions.

Technical Competencies

Python ✦ Julia ✦ C/C++ ✦ Go ✦ JavaScript ✦ TypeScript ✦ React ✦ Node.js ✦ SQL ✦ MongoDB ✦ Supabase ✦ Scikit-Learn ✦ PyTorch ✦ Docker ✦ Kubernetes ✦ Linux
Python ✦ Julia ✦ C/C++ ✦ Go ✦ JavaScript ✦ TypeScript ✦ React ✦ Node.js ✦ SQL ✦ MongoDB ✦ Supabase ✦ Scikit-Learn ✦ PyTorch ✦ Docker ✦ Kubernetes ✦ Linux
Python ✦ Julia ✦ C/C++ ✦ Go ✦ JavaScript ✦ TypeScript ✦ React ✦ Node.js ✦ SQL ✦ MongoDB ✦ Supabase ✦ Scikit-Learn ✦ PyTorch ✦ Docker ✦ Kubernetes ✦ Linux

Featured Work

Bionium-X

  • Engineered a modular scientific Python library for exoplanetary biosignature detection, establishing a scalable architecture for thermodynamic atmospheric modeling.
  • Implemented robust data caching mechanisms to process large astronomical datasets efficiently, accelerating data retrieval by over 30%.
  • Hardened repository infrastructure by integrating Sphinx for automated documentation and Dependabot for CI/CD security.
Python Sphinx CI/CD
Fig 2.1

Bike Analytics

  • Analyzed an urban mobility dataset of over 10,000+ rental records to extract seasonal variability and usage patterns via advanced EDA techniques.
  • Developed and trained a linear regression model using Scikit-Learn to predict hourly bike demand, optimizing fleet distribution efficiency.
  • Engineered data preprocessing pipelines to successfully handle outliers and missing values, improving reliability by 15%.
Scikit-Learn Supabase Pandas
Fig 2.2

CalCarbo

  • An eco-friendly Carbon footprint and emission tracker designed to help users monitor and reduce their environmental impact.
  • Utilized meticulous environmental analytics and reporting tools to provide actionable insights for sustainable lifestyle choices.
JavaScript Eco-Tech
Fig 2.3

Khel-Connect

  • A robust mobile application engineered for athletes to connect natively and analyze immediate performance metrics.
  • Surfaces critical sporting opportunities in real time using scalable backend architectures.
TypeScript Sports Tech
Fig 2.4

Achievements & Certifications

Astrophysics Certification

IIT Kharagpur (Mar 2026)

Completed a comprehensive research program focusing on observational astronomy, stellar/galactic astrophysics, cosmology, and exoplanet studies.

NSDC Certified Trainings

Corizo Edutech (Jul 2025)

Earned professional certifications in Data Science (machine learning, 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.

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Open
For
Inquiry

T

he desk is currently open to new collaborations, open source contributions, internships, and deep technical challenges.

Direct Correspondence

Electronic Mail

Omhabib311@gmail.com

Digital Profiles

GitHub LinkedIn
Draft Message