About Us QPSi trainees

Helen is pursuing a Master of Health Administration at UF, after earning a B.S. in Biology from the University of Florida. Before joining QPSi, Helen worked in the pathology department of a cancer center, participated in health administration and public health case competitions, and volunteered in setting up a free clinic and running educational programs for children.
At QPSi, Helen supports process improvement and patient safety education projects to enhance care delivery. Outside of QPSi, Helen enjoys cooking and exploring local coffee shops.

Varun is pursuing an M.S. in Computer and Information Science at UF, after earning a B. Tech in Computer Science and Engineering from Amrita Vishwa Vidyapeetham, India. He previously developed deep learning models to detect anomalies in NASA aviation data as a Research Assistant at UF and built a full-stack digital election platform.
At QPSi, Varun works on probabilistic graph modeling using Gaussian Processes and Markov Chains to analyze patient care pathways and identify patterns associated with improved outcomes. Outside of QPSi, he enjoys playing tennis, coding side projects, and contributing to open source.

Ganesh is pursuing an M.S. in Computer Science at UF, after earning a B. Tech in Information Technology from Jawaharlal Nehru Technological University. He previously led DevOps automation initiatives at Amadeus, enhancing CI/CD pipelines and system security. He has also developed a sentiment analysis tool for patient feedback and a deep learning model to detect chest X-ray abnormalities.
At QPSi, Ganesh works on machine learning projects aimed at improving healthcare outcomes through data analysis, predictive modeling, and machine learning operations. Outside of QPSi, Ganesh is passionate about AI-driven innovation and enjoys photography, basketball, freediving and travelling.

During his spring term with QPSi, Prajay worked on graph machine learning techniques for Heart Failure care pathways, with a particular focus on graph anomaly detection and graph community analysis and comparison. This time, he is focused on a patient experience feedback pipeline, tasked with analyzing and classifying patient feedback using BERT. He is applying his skills in Natural Language Processing (NLP) and working with transformer-based models. Prajay aims to enhance healthcare outcomes at QPSi while learning to apply NLP and LLMs to large-scale medical data through these new contributions at QPSi.

During his spring term with QPSi, Udayakumar worked on evaluating the performance of large language models for clinical applications using the CLUE framework. This semester, he is focused on fine-tuning UF’s GatorTron-BERT model to predict readmission and respiratory failure based on summarized clinical notes. He is applying skills in prompt engineering and model fine-tuning developed since his last term in the training program. Through this work at QPSi, Udayakumar aims to leverage unstructured clinical data to improve the predictive performance of machine learning models and support clinical decision-making.

Karley earned a BS in Biomedical Engineering (UF, 2024) and is pursuing an MS in Industrial & Systems Engineering with a focus on human-systems engineering. She has research experience in biomechanics at UF and deep brain stimulation at Duke. As a quality engineering intern at Exactech, she developed a passion for healthcare quality. She aims to become a healthcare systems or medical device quality engineer, using this opportunity to enhance her skills in healthcare quality and AI-driven processes. Her interests include knitting, cooking, podcasts, and hiking.

Rupakali is a Master’s student in Business Analytics at UF with a background in Computer Science Engineering from Jawaharlal Nehru Technological University, India. She has experience as a Business Analyst at Bonnie Plants and OpenText, along with AI research at UF’s Fischer School of Accounting. Passionate about data-driven decision-making and workflow optimization, she aims to apply AI to real-world problem-solving. An avid traveler, she sees this program as an opportunity to enhance her skills, collaborate, and make a meaningful impact.

Prajay is a Computer Science graduate student at the University of Florida with two years of experience at Dell Technologies developing full-stack applications using Angular and Python/FastAPI. Passionate about healthcare AI, machine learning, and NLP, he aims to apply AI to patient care. He enjoys badminton, squash, golf, gaming, and Florida road trips. Through the QPSi training program, he looks forward to working with real healthcare datasets and learning from industry experts.

Utkarsh is a Computer Science graduate student at the University of Florida with a bachelor’s in Computer and Communication Engineering from Manipal University Jaipur. He worked at Accenture in Bangalore, supporting clients through Workday, and interned at IIT Kanpur, focusing on AI. Passionate about AI-driven innovation, he aims to apply AI in medical science. He enjoys story-driven video games, dancing, singing, and learning the synthesizer. This training program will enhance his AI expertise and its applications in healthcare.

Udayakumar holds a B.Tech in Information and Communication Technology (2021) and is pursuing an MS in Information Systems and Operations Management (2025). He worked as a Software Engineer at Optum Global Solutions (2021–2023) and is passionate about big data and data-driven decision-making. Aspiring to be a Data Engineer, he aims to leverage AI for optimizing healthcare data pipelines. This training program will provide experience in applying LLMs to clinical data analysis and patient safety insights. In his free time, he enjoys baking.