RAG Portfolio Assistant
An AI agent that answers recruiter questions from a curated knowledge base — grounded in real portfolio data, engineered against hallucination.
Live & deployed — it's answering questions in the Ask band below.
Try it live ↓An AI agent that answers recruiter questions from a curated knowledge base — grounded in real portfolio data, engineered against hallucination.
Live & deployed — it's answering questions in the Ask band below.
Try it live ↓Detects metastatic cancer in histopathology image patches.
220k+ images · ~85% validation accuracy.
Case study → Coming SoonCross-platform inventory & operations app for small businesses.
Developed end-to-end — auth, data, and release pipeline.
Case study → Coming SoonI'm an AI/ML engineer that started out loving computer science research and wants to turn AI potential into real usable tools. I'm combining my academic knowledge from projects like a cancer-detection CNN trained on 220k+ images with my full stack skills of mobile apps built end to end and making real projects like this retrieval-augmented assistant deployed and answering real questions. Research gives me the rigor; interacting with real people builds the ideas; shipping keeps it honest.
Ask about my background →I've long loved various forms of AI from strict set-based search and comparative Vector Symbolic Architectures to chaotic simulation approaches. What takes AI from an interest to a passion for me though, regardless of approach, is its potential as a tool and technology for science and production.
Open to AI/ML roles and interesting collaborations. The fastest way to reach me is right here.