At Coastal Seven Technologies, I contribute to a McKesson client project developing a RAG chatbot and evaluating retrieval and response quality with RAGAS metrics.
I've also worked on full-stack features for Innotribe and an AI-powered interview application, contributing to API integrations, application workflows, and LLM integration.
For Storyy App, I developed and maintained React Native components, mobile screens, navigation, and API integrations. I also built responsive React.js interfaces and reusable components for Snappod.ai.
In my projects, I developed a hybrid deep learning model for fake video detection that achieved 94.2% classification accuracy, and a GitHub repository RAG system that reached 92% retrieval precision.
