Type: Full-stack, production-style system
Impact: Disaster awareness & preparedness

Key Features

• Multilingual disaster education modules (EN / HI / ML / KN)
• JWT authentication with role-based admin dashboard
• User progress tracking & analytics
• Mobile-first UX with Framer Motion

Tech Stack React · Node.js · Express · MongoDB

• 4 game modes
• JavaFX + MVC
• Live Java/Python execution via JDoodle API
• Supabase leaderboard + offline JSON caching

• Interactive heatmaps (Leaflet.js)
• Bengaluru-level emission simulation
• UX-first sustainability nudges

Key Responsibilities & Contributions

• Contributed to the development of an AI-powered climate education platform, helping improve accessibility to climate knowledge.
• Improved system architecture and code maintainability through refactoring and modular design.
• Built and enhanced frontend features, improving usability and user experience.
• Strengthened technical documentation, making the project easier to understand and maintain.
• Collaborated on knowledge-driven systems integrating modern AI and software engineering practices.

Tech: Python, JavaScript, React, AI Applications, Documentation, Software Engineering

Key Responsibilities

• Led weekly Python programming sections for learners from around the world.
• Mentored students through debugging, problem-solving, and programming fundamentals.
• Fostered an inclusive and collaborative learning environment while supporting students with coding challenges.
• Strengthened communication, leadership, and technical mentoring skills through one-on-one guidance and group discussions.

Tech: Python, Teaching, Mentoring, Debugging, Problem Solving, Technical Communication

Sugarizer (Chess Activity) — Open Source Contributor

Key Contributions

Improved the Chess tutorial by replacing text-only explanations with animated visual demonstrations for pawn, rook, knight, bishop, queen, and king movements. Designed and integrated lightweight GIF-based animations, making chess fundamentals easier for beginners to understand. Refactored tutorial styling and integrated the new learning experience into the Sugarizer Chess activity. Collaborated closely with maintainers through issue discussions, code review, and pull request iterations. Successfully delivered and merged the enhancement after community review and maintainer feedback.

Tech: JavaScript, CSS, UI/UX, Educational Software, Git, GitHub, Image Processing

🔗 Representative PRs:

Animated chess tutorial Tutorial UI & CSS improvements

Achievement Management System — Open Source Contributor

Key Contributions

Centralized Flask configuration by migrating hard-coded settings into a structured config.py with environment-based overrides. Added comprehensive pytest coverage using Flask's test client for: Authentication flows Protected routes Database initialization Improved deployment portability, security, and maintainability through configuration refactoring. Proposed contributor workflow improvements by designing: Pull Request templates Issue templates OSCG26-specific repository labels Helped improve contributor onboarding and long-term repository maintainability.

Tech: Python, Flask, Pytest, Application Configuration, Environment Variables, Testing, Git

🔗 Representative PRs:

Centralized Flask configuration Authentication & route test suite Repository workflow improvements

ETNA — Rust + Python ML Framework

Key Contributions

• Designed and implemented comprehensive pytest test coverage for preprocessing and utility modules, validating:
  • Numeric scaling
  • Missing-value handling
  • Categorical encoding
  • CSV ingestion
• Resolved Python-only test isolation issues in a Rust-backed ML framework, improving CI reliability.
• Fixed a critical model persistence bug by implementing save/load support for preprocessing state in ETNA’s Python API.
  • Ensured trained models retain scaling statistics, categorical encodings, and label mappings after reload.
  • Restored prediction consistency across sessions and validated correctness with end-to-end tests.
• Added native categorical feature support to the ETNA Preprocessor:
  • Automatic detection of string/object columns
  • One-Hot Encoding with robust NaN handling (mean for numeric, mode/unknown for categorical)
  • Dynamic feature-dimension updates for correct Rust core initialization
  • Guaranteed encoding consistency during inference
• Strengthened Python–Rust integration through unit tests and cross-language validation.

Tech: Python, Pytest, ML Pipelines, Feature Engineering, Rust–Python Interop

🔗 PRs:

• Pytest-based preprocessing coverage
• Preprocessor persistence (save & restore state)
• Categorical feature support with One-Hot Encoding

SoulSense — Open Source Developer

Key Contributions

• Refactored a monolithic Python EQ assessment tool into a modular, production-ready architecture with a clean package structure.
• Designed and implemented normalized, ML-ready SQLite schemas for:
  • Question banks
  • User responses
  • Question-level metadata
• Enabled fine-grained response storage to support analytics and future ML pipelines.
• Introduced structured logging and error traceability, replacing print-based debugging and improving observability.
• Implemented age-based question filtering while maintaining backward compatibility.
• Built a comprehensive pytest test suite covering:
  • Core logic
  • Database migrations
  • Utility modules
• Ensured migration-safe schema evolution and non-breaking enhancements across releases.

Tech: Python, SQLite, Database Design, Logging & Observability, Pytest, Modular Systems

🔗 Contribution summary & PRs linked in repo

CarbonX — Web3 Contributor

Key Contributions

• Built and integrated the GreenProof smart contract using Solidity and Remix to record eco-friendly actions on-chain.
• Ensured contract correctness and deployability as part of the CarbonX Web3 pipeline.
• Integrated GitHub Actions from the Marketplace to automate repository workflows:
  • Copying issue labels to PRs
  • Assigning PR authors automatically
  • Managing stale issues

Tech: Solidity, Smart Contracts, Remix IDE, GitHub Actions

🔗 PRs:

• GreenProof smart contract
• GitHub Actions workflow automation

AlgoVisualizer — Maintainer & Open Source Developer

Key Contributions

• Maintained a large-scale educational platform during Hacktoberfest & GSSoC '25:
  • Issue triage
  • PR reviews
  • Contributor mentoring
  • Merge conflict resolution
• Designed and implemented interactive visualizers:
  • Dynamic Programming (LCS, Coin Change, Matrix Chain)
  • Hashing (insert/search/delete with animations)
• Implemented advanced sorting algorithms with full animations:
  • TimSort
  • IntroSort
• Restored missing algorithms after a major refactor and modularized the codebase for long-term maintainability.
• Fixed a critical production build failure (Home.jsx), unblocking 30+ contributors.
• Expanded the quiz platform with 80+ algorithmic questions across:
  • DP, Backtracking, Divide & Conquer
  • Trees, Knapsack, TSP
  • Game Search (Minimax, Alpha-Beta, MCTS)
• Improved UI/UX clarity and documentation to enhance accessibility and learning outcomes.

Tech: JavaScript, React, Data Structures & Algorithms, Visualization, OSS Maintenance

🔗 Representative PRs:

• DP Visualizer
• TimSort & IntroSort animations
• Quiz platform expansion
• Production build fix

Old-School-Game — Open Source Contributor

Key Contributions

• Built a time-based arithmetic game with multi-level difficulty (Amateur → Normal → Veteran).
• Implemented dynamic scoring, attempt tracking, and instant validation.
• Designed Veteran-mode hints using mental-math techniques.
• Enhanced UI with responsive layouts, accessible inputs, and keyboard navigation.
• Incorporated CodeRabbit feedback to improve accessibility and styling.
• Proposed and implemented Bullet Math, a fast-paced cognitive game backed by research on brain training.

Tech: TypeScript, React, Accessibility, Game Design, UI/UX

🔗 PRs & proposal links in repo

PyEveryday — Open Source Contributor

Key Contributions

• Refactored and expanded the Data Converter Toolkit using pandas-based pipelines.
• Reduced codebase size by ~35% while improving readability and maintainability.
• Added preview functionality, row/column statistics, and data sanitization.
• Proposed and designed a modular ingestion architecture:
  • DataReader
  • DataProcessor
  • DataConverter
  • DataWriter
• Identified duplicated chunking logic and proposed unified read methods for consistent data handling.
• Collaborated with maintainers and contributors under OSCI ’25.

Tech: Python, pandas, Data Engineering, Modular Architecture

🔗 PRs & architectural proposals linked in repo