About.

I've built LLM-powered systems that achieved 92% alignment with human coaches, deployed enterprise RAG models for university operations, and published IEEE research on cyberbullying detection with 88% accuracy. My toolkit spans Python, PyTorch, LangChain, and cloud platforms (AWS, GCP, Azure), but what drives me is the challenge of making AI useful and not just impressive. I thrive at the intersection where cutting-edge technology meets real human needs, creating multilingual medicine identification apps and building systems that scale from prototype to production. I believe the best AI solutions are the ones people actually use. Currently seeking opportunities as an ML Engineer or Data Scientist where I can combine technical rigor with strategic impact. When I'm not debugging models or optimizing pipelines, you'll find me exploring new cultures, traveling and reading books. I believe in continuous learning and growth, and I am confident that my communication, presentation, and analytical skills will enable me to excel in any role.