🎓 Having completed 3rd year of Computer Science,I look forward 4th year with a strong interest in building impactful tech solutions using Python, Machine Learning, API's and Cloud Technologies.
🚀 I love turning ideas into real-world projects and continuously exploring new tools and technologies.
- 💻 Languages: Python, JavaScript, HTML, CSS
- ⚙️ Tools & Frameworks: Flask, FastAPI, scikit-learn, Pandas, NumPy, Git, Postman
- ☁️ Platforms: Google Colab, Render, GitHub
- 🧪 Currently Exploring: AWS, Docker, API Testing, Advanced ML
Trained and evaluated 6 ML models to predict cardiovascular disease using real-world medical data.
Tech Used: Python, scikit-learn, Matplotlib, Google Colab
🔗 Repo Link 🔗 Live Site
A sleek, responsive portfolio showcasing my projects and skills. Deployed using Render.
Tech Used: HTML, CSS, JS
🔗 Live Site
🔗 Repo
Built APIs using Flask & FastAPI, tested them with Postman, and deployed to Render for real-world usage.
Tech Used: Flask, FastAPI, Postman, Render , Javascript , Node.js 🔗 Repo 🔗 Repo 🔗 Repo
- ✅ Completed a Machine Learning Internship at Corizo
- 📈 Self-taught several frameworks and tools to build full-fledged ML & web apps
- 💡 Building solid projects instead of just following tutorials
- 📚 Actively preparing for CAT to explore diverse career opportunities
- API best practices and security (FastAPI, JWT, OAuth)
- Cloud deployment and DevOps basics (Render, AWS, Docker)
- Model optimization & MLOps fundamentals
"I may not have a gold medal yet, but I'm building my own legacy line by line."
🌟 Let’s code the future!