I turned curiosity into a full-time side quest, and building things into my way of thinking.
All it took was questioning the obvious, breaking things apart to understand how they work, and teaching myself to build what I once thought was beyond my reach. From algorithms and machine learning to AI agents and systems that think, retrieve, and reason, every rabbit hole became another opportunity to learn.
That led me to build projects not just to add them to a résumé, but to explore ideas, solve real problems, and create things that didn't exist before. One experiment at a time, I'm working toward a future where I build more than I consume.
If I had to give one piece of advice to anyone carving their own path, it would be this: protect your curiosity. The noise never stops. Trends change, opinions shift, and everyone has a blueprint for how you should live. Don't let someone else's definition of success overwrite your own internal model. Keep learning, keep questioning, and keep building.
Stay curious long enough, and you might just build something extraordinary.
AI & Machine Learning
﹂ Building AI-powered systems and exploring practical applications of ML
﹂ Exploring LLMs, AI agents, RAG, and autonomous systems
﹂ Interested in research-driven AI engineering and product building
Projects
﹂ Agentic-Commerce-Platform — AI-powered agentic commerce
﹂ Autonomous-SRE-Agent-for-Cloud-Systems — Autonomous cloud reliability and operations
﹂ A-Multi-Source-Research-Intelligence-Platform-with-MCP-and-Hybrid-RAG — Multi-source research using MCP and hybrid RAG
Currently building
﹂ Real-time multi-person AI dance teaching system
﹂ Exploring pose estimation, motion analysis, and personalized feedback
﹂ Advanced Machine Learning & Deep Learning
﹂ LLMs, AI Agents, and Agentic Workflows
﹂ RAG Systems, MCP, and Vector Databases
﹂ Computer Vision and Human Pose Estimation
﹂ MLOps, Model Deployment, and AI System Design
Building quietly. Learning relentlessly. Thinking independently.