I work at the intersection of machine learning, cloud infrastructure, and applied AI — designing systems that are both rigorous and practically useful. Currently building an AI advisor for institutional knowledge.
Designing an AI-powered system for answering questions about an institution's inner workings. Involves knowledge retrieval, structured prompting, and context-aware reasoning over private organizational data.
End-to-end ML pipeline for real estate price prediction. Covered data preprocessing, feature engineering, model selection, and evaluation under Prof. Gianni Di Caro. Well-received in course review.
Deep study across Azure's identity, networking, and governance surface: Entra ID, SSPR, RBAC, resource locking, CIDR-based subnet design, and AZ-104 exam preparation. Azure DevOps next.
Served as a Course Assistant for Prof. Di Caro's introductory programming course. Supported students through problem sets, debugging sessions, and conceptual walkthroughs of core CS fundamentals.
I'm an ML engineer and cloud practitioner with a background in applied machine learning, having studied under Prof. Gianni Di Caro and worked as a teaching assistant for his introductory programming course. My technical work lives at the boundary between infrastructure and intelligence — building systems that don't just compute, but reason.
Currently, I'm deep into Azure certification (targeting AZ-104 and beyond), and building an AI advisor system designed to help institutions navigate their own knowledge — a project that brings together RAG, structured prompting, and organizational design thinking.
What drives me isn't just building things that work, but understanding why they work. I'm drawn to the cognitive science of AI (Joscha Bach is a big influence), the economics of decisions, and the history behind how knowledge systems evolve. I think the most interesting problems exist where technical rigor meets human messiness.
Outside of that: Haruki Murakami and Ted Chiang for fiction, long-form debates over podcasts, and jiu jitsu + meditation as an antidote to spending too much time in abstraction.
Whether it's a collaboration, a question about AI systems, or just a good conversation — reach out.