Software Developer & Open Source Enthusiast based in Bengaluru. Currently focused on Space Tech, Statistical Machine Learning, and Artificial Intelligence.
Passionate about Open Source. Recently engaged with GSoC 2026 implementing high-performance Spectral Timing algorithms in Julia, and building predictive analytics pipelines.
Latest Briefing
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.
Professional Background
A chronology of software exploration, open source collaboration, and building high-performance solutions across various stacks.
Drafting proposals and algorithms for GSoC 2026, working tightly on Spectral Timing tools within the Julia ecosystem. Extensively applying statistical analysis (ANOVA, Distribution Fitting) to real-world datasets alongside advanced pipeline automation.
Web & Cloud Architecture
Pioneered multi-faceted platforms. Deployed persistent Streamlit applications (Bionium X) powered by GitHub Actions. Engineered 'CalCarbo' for emission tracking and 'Khel-Connect' using TypeScript and scalable backend architectures.
Engineered machine learning pipelines utilizing Random Forest, Logistic Regression, and Isolation Forest models. Analyzes bike-sharing demand with thorough statistical distribution testing.
A highly resilient Streamlit environment deployed in production. Built with automated GitHub Actions keep-alive workflows to ensure zero-downtime availability for its data interfaces.
An eco-friendly Carbon footprint and emission tracker designed to help users monitor and reduce their environmental impact utilizing meticulous environmental analytics and reporting.
T
he desk is currently open to new collaborations, open source contributions, internships, and deep technical challenges.