• Spearheaded the Recommendation Engine team, leveraging cutting-edge OpenAI and Google gemini models to incorporate Large Language Models (LLMs)into the recommendations provided to coaches and sports players. Performed prompt engineering and delpoyed production ready models.• Utilized various skills in Data science and Python, machine learning, and performed exploratory data analysis.• Helped build the core technical foundation encompassing video processing(Open CV), human pose estimation(yolov8)for the comapnies Computer Vision Capabilities.• Accelerated development with a research-backed video analysis framework and used geometrical, statistical and time series analysis.• Designed and implemented robust APIs to fetch and process real-time data,significantly improving system responsiveness and accuracy.• Collaborated with cross-functional teams to align the recommendation engine’s objectives with the company’s strategic goals.• Integrated Retrieval-Augmented Generation (RAG) techniques with Large Language Models (LLMs) to enhance contextual relevance and accuracy of recommendations, optimizing model performance metrics and significantly boosting output accuracy by 25%.

AI/ML Intern --Helped Build the core technical foundation of the recommendation engine team.

Was one among five students selected to be mentored by Cisco .The aim of this program was to help students build a software product from scratch and finally compete against other teams.The mentors helped us understand the entire process involved in ideation,development and launch of a product.Our project for this program was an intranet student network website that allowed student to network and communicate internally on the platform.