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AI Enthusiast | Full-stack Explorer | Building solutions that matter 💡
AI-driven applications, backend APIs using FastAPI, and end-to-end projects focused on scalability and performance.
High-impact AI/ML projects, open-source contributions, and problem-solving focused engineering teams.
Making my projects cleaner, smarter, and more real-world ready (and learning from people who’ve been there 💭)
Data Structures & Algorithms, Machine Learning, Deep Learning, backend architecture, and scalable system design.
Python, FastAPI, AI/ML fundamentals, DSA preparation, and building strong technical portfolios.
I enjoy breaking down complex problems into efficient, maintainable solutions and continuously leveling up as an engineer.
# what's keeping me busy right now
learning:
- LLMs and prompt engineering
- RAG pipelines and vector databases
- System design for scalable ML services
practicing:
- DSA — one problem at a time
- Building small, useful things to sharpen my skills
exploring:
- Open source AI projects
- Backend architecture patterns
- The vast, beautiful chaos of the ML research world
status: "somewhere between 'it's not working' and 'wait it worked' 🌌"I believe every line of code can bring us closer to something magical 💫 I have a cat named moggu.
