Contributor to the sktime ecosystem, improving correctness, code quality, and developer experience in production-grade probabilistic machine learning libraries.

Worked on real issues, submitted pull requests, and collaborated with maintainers following professional open-source workflows (CI, pre-commit, reviews).

🎯 Key Contributions

• Fixed correctness issues in probabilistic components (metrics & estimators)
• Improved grammar, clarity, and consistency in validation error messages
• Enhanced documentation and typing in utility functions
• Refactored CyclicBoosting to eliminate duplicated feature validation logic
• Successfully delivered multiple PRs merged after maintainer review

⚙️ Tech Stack

🔗 Pull Requests

• sktime/skpro#833
• sktime/skpro#813
• sktime/skpro#917
• sktime/skpro#934

AI-powered system that analyzes resumes and LinkedIn profiles and gives brutally honest career feedback.

🎯 Features

• AI career roast generator
• Resume & LinkedIn analysis
• Actionable improvement suggestions
• PDF, DOCX, and text support

⚙️ Tech Stack

Platform that detects dataset issues before they break production ML models.

🎯 Features

• Missing data detection
• Bias & distribution drift analysis
• Research-backed metrics
• Interactive dashboard

⚙️ Tech Stack

Blockchain-based disaster relief tracking system ensuring transparent fund usage.

🎯 Features

• Smart contract integration
• Transparent relief tracking
• Real-time monitoring

⚙️ Tech Stack

Netflix-inspired team portfolio website with dynamic filtering and animations.

⚙️ Tech Stack

Full-stack repository analytics platform with modern UI and structured insights.

⚙️ Tech Stack

https://github-repo-analyzer-by-mayank.vercel.app/