Generative AI

For a startup specializing in fitness technology, I developed an AI-powered personal fitness coach. This system leverages advanced language technologies, including GPT-4 and Command R+, to generate personalized and adaptive training plans tailored to individual user needs, setting it apart from generic, one-size-fits-all fitness solutions.

In this endeavor, I led a groundbreaking RAG project aimed at transforming document and information retrieval with provenance tracking for a valued client. Leveraging state-of-the-art technologies such as OpenAI, Neo4j, and LangChain, I orchestrated a comprehensive solution tailored to meet the unique needs of the client.

In this project, I spearheaded the development of a solution aimed at automating the summarization of customer service support conversations. The primary objective was to provide management with succinct insights into the interactions transpiring through our customer service chat platform.

The goal of this project was to develop a Generative Adversarial Network (GAN) capable of generating unique logotypes for teams on a gaming platform. The trained GAN architecture enabled the creation of 1M unique logotypes for the players of the platform.