π Computer Science undergraduate specializing in Artificial Intelligence & Machine Learning (AIML)
π‘ Interested in Machine Learning, Deep Learning, Backend Development, and AI-backed systems
π Focused on learning fundamentals deeply and building real-world, production-ready projects
- Strengthening ML & Deep Learning fundamentals
- Building end-to-end AI projects (model β backend β deployment)
- Learning backend development for scalable systems
- Improving DSA and problem-solving skills
Languages: Python, JavaScript, C++
ML / AI: Scikit-learn, TensorFlow, PyTorch
Backend: Node.js, Express, FastAPI
Databases: MongoDB, PostgreSQL
Tools: Git, GitHub, Docker (learning), Linux
- Machine Learning pipelines with proper evaluation & error analysis
- AI-powered backend APIs for real-world use cases
- Problem-focused projects where precision vs recall and false negatives matter
I believe in building fewer projects, but building them the right way.
- Master ML, Deep Learning, and MLOps fundamentals
- Build scalable AI + backend systems
- Prepare for internships and research-oriented roles
- Write clean, readable, and maintainable code
- π» GitHub: Explore my repositories below
- π« Open to collaboration on ML, AI, and backend projects
β Always learning. Always improving.


