LoanPredict.AI
A full-stack machine learning application that predicts loan approval in real-time using an XGBoost model trained on 52,000 applications. Features a four-step form, confidence scores, EMI calculations, and an admin dashboard.
Hello, I'm
I build robust web applications with clean code and thoughtful architecture. Currently focused on Django, Python, and creating seamless user experiences.
I'm an undergraduate student who's seriously focused on becoming a strong software developer through consistent, hands-on work. I didn't get into tech just to watch tutorials — I learn by building. Most of my time goes into creating real projects, understanding how systems work behind the scenes, and improving step by step.
My main interests are backend development, full-stack web applications, and writing clean, logical code. I work with technologies like Python, Django, Java, and modern web tools such as HTML, CSS, and JavaScript. I enjoy connecting frontend and backend to turn ideas into working products.
What drives me is growth. I'm always looking at what I built yesterday and thinking, "How can I do this better?" My goal is to become an engineer who can build reliable, real-world software — and this portfolio is a record of that journey.
Building real-world experience through projects, freelance work, and continuous learning.
Machine Learning Intern
Data Analytics Intern
Building a strong foundation in computer science and engineering principles.
Computer Science & Engineering
Pursuing a comprehensive education in computer science with focus on software engineering and web technologies.
MPC — Mathematics, Physics, Chemistry
Completed intermediate education with strong foundation in mathematics and sciences.
State Board
Completed secondary education with strong academic performance, laying the groundwork for future technical studies.
Real-world applications built with clean code, thoughtful architecture, and attention to detail.
A full-stack machine learning application that predicts loan approval in real-time using an XGBoost model trained on 52,000 applications. Features a four-step form, confidence scores, EMI calculations, and an admin dashboard.
A campus bicycle rental and sharing platform enabling students to list, browse, and book bikes through a wallet-based booking system with authentication, Stripe/PayPal payments, and an admin dashboard.
A smart AI farming advisor that recommends crops based on soil N P K, pH, temperature, humidity, and rainfall. Powered by a trained Random Forest model delivering 95%+ accuracy with soil health scores, fertiliser plans, and profit estimates.
Contributed to Kestra, a popular open-source workflow orchestration platform. Fixed a UI inconsistency by replacing deprecated TimelineClockOutline execution icons with PlayOutline following the left menu revamp (PR #13878).
The core technologies I use to bring ideas to life.
Have a project in mind, want to collaborate, or just want to say hi? I'd love to hear from you. Drop me a message and I'll get back to you as soon as possible.