AI/ML • Python • AI Agents • Product Building

CSIT Student  •  Python Developer  •  AI/ML Enthusiast  •  AI-Native Builder

_{Let's connect • collaborate • build something useful 🚀}

🎓 3rd Year CSIT Student  •  🤖 AI/ML  •  🐍 Python  •  🚀 Building With AI

I'm a 3rd Year CSIT student focused on Python, Artificial Intelligence, Machine Learning, and practical software development.

I learn by building — from traditional ML projects and Python applications to newer AI agents, developer tools, and AI-native products. I enjoy taking an idea from concept to implementation, understanding how the system works, debugging what breaks, and continuously improving the result.

🎯 Currently: building projects, strengthening my AI/ML fundamentals, exploring AI-assisted development, and preparing for internship opportunities.

🧑‍💻 Built to learn, not just to copy. These projects were created while I was learning the underlying concepts. I worked through the implementation, debugging, and problem-solving myself rather than simply reproducing a tutorial step-by-step. AI can be a development aid, but understanding why the code works and how the system is built remains the goal.

🔗 GitHub
End-to-end regression pipeline that cleans housing data, engineers features, normalizes units, compares multiple regression models, and deploys the selected model with Streamlit for house-price prediction.

🔗 GitHub
Binary classification project using Logistic Regression, one-hot encoding, feature scaling, and a persisted preprocessing pipeline to estimate low- or high-risk outcomes.

🔗 GitHub
Classification project using global earthquake data, EDA, preprocessing, Random Forest modelling, feature analysis, and hyperparameter tuning to predict whether an earthquake event triggered a tsunami.

🔗 GitHub
Student outcome classification project using categorical encoding, balanced Logistic Regression, and probability-based predictions from demographic and academic-background features.

🔗 GitHub
Python CRUD application with both CLI and Streamlit interfaces for creating, updating, searching, filtering, importing, exporting, and managing student records with JSON persistence.

🔗 GitHub
Python banking simulator with CLI and Streamlit interfaces covering account creation, authentication, deposits, withdrawals, profile updates, deletion, validation, and JSON-based persistence.

🔗 GitHub
Menu-driven terminal application for creating, reading, deleting, and recursively listing files while practicing pathlib, filesystem operations, validation, loops, and error handling.

I'm now moving beyond traditional coursework and experimenting with AI agents, reusable agent skills, AI-powered developer tools, and AI-native products.

💡 How I build with AI: I use tools such as Claude Code and Codex as development partners — not as a replacement for my own decisions. I provide the product idea, define how it should look and behave, review generated code, test the result, find problems, make decisions about fixes, and iterate toward a real production-ready experience.

🔗 GitHub
A collection of production-focused agent skills and workflows for coding agents such as Claude Code, Cursor, Antigravity, and other AI development environments — exploring how reusable skills can give agents specialized capabilities.

🔗 GitHub · npm
An open-source terminal AI coding agent I'm actively building and testing to plan, inspect codebases, edit files, run commands, and iterate on development tasks. It is still work in progress with known issues/errors that I'm actively fixing as the agent evolves — currently distributed as an npm package with 28K+ downloads.

🌐 Live Website · 🔗 GitHub
A public argument court where people file a case, share a public case link, let real users vote, and receive a verdict based on the actual vote count. The product focuses on real activity, public case URLs, authentication, payments, security, and production-oriented architecture. I built it with Claude as an AI development partner while driving the product idea, UX, design direction, implementation decisions, testing, and iteration myself.

Building with AI 🚀
A growing collection of 1,000+ free tools for developers, students, creators, and everyday users — exploring how AI-assisted development can turn small, useful utilities into a large and accessible toolbox.

🔄 The contribution graph is generated by GitHub Actions and refreshed automatically from my GitHub contribution data.

• 🤖 Artificial Intelligence
• 🧠 Machine Learning
• 💻 Vibe Coding
• 🧩 AI-assisted software development

• 🚀 Building practical AI/ML projects
• 🐍 Strengthening Python and data-science fundamentals
• 🤖 Exploring AI agents and modern AI development workflows
• 🛠️ Turning ideas into usable, production-oriented products
• 💼 Preparing for internship opportunities

_{Building, learning, and shipping — one project at a time. 🚀}