π« About Me
π AI Engineer focused on building intelligent, production-ready systems using Python, LLMs, and modern web technologies.
π§ Hands-on experience with prompt engineering, LLM orchestration, and integrating AI models into real-world applications.
π± Currently strengthening full-stack AI skills across:
- Python (FastAPI, data pipelines, automation)
- React (AI-powered frontends)
- LLM frameworks (OpenAI APIs, LangChain concepts)
- System design for scalable AI services
π― Open to collaborating on AI-driven products involving:
- LLM applications & prompt optimization
- AI agents and workflow automation
- Backend APIs for ML/AI systems
- Data preprocessing and inference pipelines
π€ Actively exploring best practices in prompt engineering, retrieval-augmented generation (RAG), and AI system evaluation.
π¬ Ask me about:
- Prompt engineering strategies
- LLM application architecture
- Python for AI and backend systems
- Core computer science fundamentals (DSA, OS, networking)
β‘ Fun fact: I treat prompts like codeβversioned, tested, and optimized for performance.

