I'm a CS student at Lovely Professional University with a passion for building intelligent apps that solve real problems. When I'm not coding, you can find me exploring the latest ML papers or contributing to open-source projects that catch my eye.
I believe that AI/ML has the power to transform our world, and I'm excited to be part of that journey. My goal is to create meaningful tech that makes people's lives a little better and a little easier.
- ๐ฑ Currently diving deep into advanced ML techniques and LLMs
- ๐ก Working on some cool AI side-projects (check them out below!)
- ๐ฎ When not coding: music enthusiast, occasional gamer, and always up for coffee
- ๐ค Looking to collaborate? Shoot me a message - always open to interesting projects
I've spent years building up my tech toolkit, focusing on what helps me create efficiently:
- AI/ML: TensorFlow for deep learning, PyTorch when I need flexibility, and good old scikit-learn for quick prototyping
- Web Dev: React for frontend magic, Node.js for scalable backends, and MongoDB for storing all the things
- DevOps: Docker to keep environments consistent, Git for version control (obviously!), and just enough AWS to be dangerous
- Everyday Tools: VS Code with too many extensions, Jupyter for data exploration, and Postman for API testing
Here are some projects I've poured my heart into:
I wanted to bring the power of GPT-4 to Telegram, so I built this
- Tech: Built with Python, powered by OpenAI and Telegram APIs
- Cool Features: It can generate images with DALL-E and chat naturally like a human
- Try It: Chat with the bot or check out the code
My take on what a modern note app should be - clean, fast, and feature-rich
- Tech: PHP backend with MySQL, vanilla JS frontend that's surprisingly snappy
- What I'm Proud Of: The rich text editor, tag system, and dark mode that doesn't hurt your eyes
- Links: Take some notes or peek under the hood
Using computer vision to understand human emotions has endless applications
- Tech Stack: Python with OpenCV and a custom-trained CNN model
- The Challenge: Getting it to work in real-time was tricky, but worth it
- See It: Try the demo or explore the code