Supporting students in grasping complex concepts of biomedical image and signal processing through engaging lectures and visual demonstrations.

• Supported students in grasping complex concepts of biomedical image and signal processing
• Delivered engaging lectures using course slides and visual demonstrations
• Explained key topics such as signal sampling, Fourier analysis, and noise modeling
• Fostered a deeper understanding of real-world applications in biomedical signals and images
• Course: CS666: Biomedical Signal and Image Processing
• Presentations: Lecture 02 | Lecture 03

Supporting students in mastering data visualization and visual storytelling techniques using urban data from Boston.

• Supported students in mastering data visualization and visual storytelling techniques using urban data from Boston
• Delivered engaging lectures and hands-on demonstrations to enhance understanding of data encoding and chart design
• Guided critical evaluation of visualizations, empowering students to create effective visuals for communication
• Course: CS617: Visualizing Boston
• Presentations: Lecture 3 | Lecture 2

Serving as an IMPACT Trainer at UMass Boston, leading hands-on technical sessions at the Venture Development Center to enhance students' system-level understanding.

• Served as an IMPACT Trainer at UMass Boston, leading hands-on technical sessions at the Venture Development Center
• Guided students in creating bootable Ubuntu USBs and booting into Linux live mode
• Facilitated the setup of Miniconda environments and launching Jupyter Notebook for local code execution
• Contributed to the IMPACT program by enhancing students' system-level understanding beyond cloud platforms
• Presentation: IMPACT Day 3

Leading technical training sessions as IMPACT Trainer

Led the course staff and coordinated grading, communication, and assignment management for CS460: Computer Graphics.

• Led the course staff and coordinated grading, communication, and assignment management
• Taught and supported students in understanding computer graphics and web-based 3D visualization
• Shared expertise in WebGL, WebGPU, Three.js, and XTK for creating interactive graphics experiences
• Delivered a lecture on WebGPU fundamentals, covering browser compatibility, shaders, and rendering pipelines
• Designed instructional materials and visual examples to enhance learning of modern web graphics technologies
• Course: CS460: Computer Graphics
• Presentation: WebGPU Fundamentals

Working with my professor on CS460 Computer Graphics course

Led daily operations for food service and event functions, ensuring compliance with quality standards and smooth delivery.

• Led daily operations for food service and event functions, ensuring compliance with quality standards and smooth delivery
• Improved inventory tracking and stock management, minimizing shortages and keeping events fully equipped
• Guided and coordinated a team of 8+ members, fostering collaboration and efficiency across shifts
• Supported execution of 60+ weekly campus events, contributing to higher guest satisfaction and seamless operations
• Recognized by management for being a reliable point of coordination, strengthening communication and overall team performance

Providing real-time technical assistance for classroom setups and instructional technology at UMass Boston's Classroom Technology Services.

• Support Extron and Crestron AV systems, projectors, microphones, and hybrid tools
• Manage equipment loans through Asset Panda and document incidents using ServiceNow
• Ensure smooth operation of instructional technology for faculty and staff
• Provide effective issue resolution and service tracking

Co-founded and lead research initiatives in an AI-focused team at UMass Boston, contributing to community-building and knowledge sharing.

• Founded team with Rami Huu Nguyen, Ila Lama, and Lakshmi Pranathi Vutla
• Contribute to research initiatives and share knowledge in AI and Computer Science
• Participate in events and community engagement through Instagram @theaifantasticteam
• Focus on continuous learning and building presence in the AI space

The AI Fantastic Team core members - Rami Huu Nguyen, Ila Lama, Lakshmi Pranathi Vutla, and myself

Leading AI research in medical imaging and cancer detection using advanced deep learning techniques.

• Contributed to OMAMA-DB, a 231,080-image (2D/3D) medical imaging dataset.
• Evaluated DeepSight via image-level vs. study-level prediction analysis across the full dataset.
• Built automated inference pipelines to standardize scoring and improve reproducibility.
• Developed CNN and U-Net models for multi-view DICOM segmentation and classification.

Presenting research work as Machine Psychology Fellow