Current direction
My strongest interests are machine learning, generative AI, multi-agent systems, LLM reasoning workflows, intelligent automation, backend systems, and full-stack product development. I enjoy projects where an idea becomes a working system with APIs, databases, AI workflows, and a clear user experience.
I am not presenting myself as a senior engineer or researcher. I am an early-career student developer building practical depth through projects, internships, hackathons, and continuous learning.
How I approach building
I care about making systems understandable: what problem they solve, what evidence they use, where the limitations are, and how a user can trust the output. That is especially important in AI projects such as talent intelligence, education, and agriculture.
What I am looking for
Open to AI/ML internships, software engineering opportunities, hackathons, collaborations, and conversations about intelligent systems.