Blog
Building Trustworthiness into Medical Vision Systems
Completing a rigorous ML reliability study for chest X-ray classification—beyond accuracy to ask: when should this model's predictions actually be trusted?
Machine LearningExplainabilityML EngineeringCalibrationUncertainty Quantification
Building an Evaluation-First RAG System
A benchmark-driven RAG system for scientific question answering, designed to demonstrate disciplined evaluation, system design, and end-to-end ML engineering.
RAGEvaluationML EngineeringMLOpsPython
Building a Domain-Adapted LLM for Travel Guidance
Adapting a 7B language model to produce reliable, structured travel guidance through evaluation-first design, synthetic instruction tuning, and measured iteration.
Machine LearningLLMEvaluationFine-tuningStructured Outputs
A Look Into My Research Journey
A short, conversational update on my two accepted IEEE EMBC 2026 papers and what they are about. Full paper links and detailed pages are coming soon.
Machine LearningResearchPublicationsCareer