Detail-oriented and research-driven undergraduate with a robust mathematical and statistical foundation, driven by a passion for quantitative modeling and financial applications. Skilled in reinforcement learning (RL) methods (MDPs, policy gradients) and high-dimensional data analysis. Experienced in both robotics and medical AI research, consistently applying data-driven techniques and stochastic modeling to solve real-world problems. Ranked top in class, with international research recognition and hands-on experience in building scalable solutions.
• Designed and trained reinforcement learning algorithms based on MDPs for robotic surgical simulation using Isaac Sim and ROS2.
• Built probabilistic decision systems to solve real-time planning problems in continuous space.
• Collaborated with the University of Toronto on a project for epicardial fat segmentation, applying
computer vision and statistical techniques for disease prediction.
Ranked 1st in the Department (Junior Year, Fall 2025)
Mitacs Globalink Research Internship (GRI) Award, 2025
Summer@EPFL Internship Shortlisted (Top 13% out of 5,900 Applicants, 2025)
Research assistant at BFSU Artificial Intelligence & Human Languages LabResearch assistant at BFSU Artificial Intelligence & Human Languages Lab
Vice President at ARTIFICIAL INTELLIGENCE and MACHINE LEARNING ENGINEERINGVice President at ARTIFICIAL INTELLIGENCE and MACHINE LEARNING ENGINEERING
ML Researcher at UofT Machine Intelligence Student TeamML Researcher at UofT Machine Intelligence Student Team
Principal Statistical Programmer at PAREXEL InternationalPrincipal Statistical Programmer at PAREXEL International
Consultant - Logistic Department at Dowell Container and Packaging CorporationConsultant - Logistic Department at Dowell Container and Packaging Corporation