+ Developed a hierarchical federated learning model for brain tumor diagnosis and increased the global model accuracy from 83% to 91% compared to traditional machine learning+ Prototyping a metaverse simulation tailored for healthcare applications using AI for medical diagnosis

+ Designed and developed lesson materials for CS201 - Robotics Foundations course, accommodating an estimated enrollment of 1,000 students+ Conducted preparatory interviews and graded engineering notebooks for VEX IQ 2024 championship teams+ Organized and coordinated two educational company trips, facilitating connections between students and industry experts to broaden career insights and real-world exposure+ Conducted market research to assess trends and student needs for robotics courses

+ Demonstrated Autonomous Intersection Management System (AIMS) on TurtleBots using ROS and Gazebo+ Implemented YOLOv3 and the Stable Diffusion model for proof of concept in latent space lossless compression, targeting identification and recreation of natural phenomenon information from satellite images.+ Contributed to a survey paper about gamified and XR technologies to enhance human-vehicle interactions (in progress).

+ Led 40 students in group discussions and problem-solving for physics mechanics using Python, enhancing communication skills by fostering students' autonomy in applying concepts to real-world phenomena.+ Conducted weekly help-room sessions and provided detailed group and individual feedback to students, emphasizing their growth, resulting in a notable improvement in their in-class scores.

+ Optimized NLP models, including spaCy and LLaMa, for enhanced named entity recognition in an e-commerce application, resulting in significant reductions in processing time.+ Conducted research for the initial stages of implementing an internal software effort estimation tool, leveraging Artificial Neural Networks (ANN) and decision trees.