Abdullah Tariq Choudhry
Building cutting-edge software solutions and advancing AI research through innovative applications of deep learning and machine learning techniques.
Get to know who I am
Discover my journey, skills, and what drives me in the world of technology.
Who am I?
Abdullah Tariq Choudhry is an Honors Computer Science graduate with a passion for Artificial Intelligence, Software Engineering, and human-centered innovation. He graduated from the University of the Pacific in 2025 as Valedictorian with a B.S. in Computer Science and a minor in Data Science, earning multiple academic honors for excellence in research, leadership, and scholarship.
His work spans a wide range of AI applications, including deep learning for computational biology, leveraging large language models for instructional use, and tackling real-world challenges through projects like Neural Oceans — which uses satellite imagery and deep neural networks to detect ocean plastic pollution — and Adaptive Education AI, an autonomous robot professor designed to teach students through natural interaction. He has also explored the perception deficits of image recognition models under adversarial conditions.
Abdullah has gained hands-on experience at NVIDIA working at the intersection of GPUs and deep learning, and continues to push the boundaries of intelligent systems through his ongoing research.
Beyond the code, he is fascinated by the future of AI-powered systems — especially humanoid robots and hardware-accelerated intelligence — and is always exploring new ways to bridge computation with empathy. In his free time, he enjoys watching boxing and UFC, anime, gaming, hackathons, and discovering great food.
My Professional Journey
4+
Years Coding
20+
Projects
3+
Publications
Research Interests
Deep Learning & Neural Networks
Machine Learning Algorithms
Robotics & Autonomous Systems
Natural Language Processing
Computer Vision
Technical Skills
Programming Languages
AI/ML Frameworks
Web Frameworks
Operating Systems
Tools & Technologies
Professional Experience
My academic background and professional career path in software engineering and machine learning research.
Education
University of the Pacific, Stockton, CA
Bachelor of Science in Computer Science, Minor in Data Science
- ✓GPA: 4.00
- ✓Valedictorian - Class of 2025
- ✓Summa Cum Laude
- ✓Departmental Outstanding Graduate
- ✓Departmental Academic Excellence
- ✓Dean's Honor Roll: Spring 2022 - Fall 2025
Experience
Teaching Assistant - Artificial Intelligence
University of the Pacific | School of Engineering and Computer Science
Research Assistant - Deep Learning and Computer Vision
University of the Pacific | School of Engineering and Computer Science
Teaching Assistant - Reinforcement Learning
University of the Pacific | School of Engineering and Computer Science
Teaching Assistant – Data Science (SHSI)
University of the Pacific | School of Engineering and Computer Science
Research Assistant - Cybersecurity and Machine Learning
University of the Pacific | School of Engineering and Computer Science
High-Performance Computing and Deep Learning Performance Engineer Intern
NVIDIA Corporation | Performance Lab
Teaching Assistant - Discrete Mathematics
University of the Pacific | School of Engineering and Computer Science
Organizations
AIR: AI-powered Robotics Club
President & Founding Member
ISACA Cybersecurity Club
Member
Phi Kappa Phi
Member
Pledge of the Computing Professional
Member
Mortar Board Honor Society
Member
Google Developer Student Club
Member
NVIDIA Artificial Intelligence & Robotics Club
Member
Environmental Conservation Club
Member
Academic Publications
Explore my research contributions in machine learning, artificial intelligence, and educational technology across conferences, book chapters, and academic venues.
Posters
Deep Learning for Genomic Feature Prediction Using Semantic k-mer Embeddings and a CNN-LSTM Architecture
AT Choudhry, JE Olivieri
Pacific Research and Creativity Conference, 2025
Unveiling Gene Similarities Through RNA-Seq Analysis
AT Choudhry, J Olivieri
Pacific Research and Creativity Conference, 2024
Conference Papers
Neural Oceans: Physics-Informed Deep Learning for Underwater Marine Debris Forecasting
AT Choudhry, VK Pallipuram
IEEE International Conference on Machine Learning and Applications (ICMLA 2025), 2025
Cracks in the Vision System: Vandalism-induced Occlusion Attacks in Autonomous Vehicles
AT Choudhry, T Das
Authorea Preprints, 2025
Book Chapters
vTA: How an Instructor Leverages Large Language Models for Superior Student Learning
V.K. Pallipuram, Vineeth Sai Varikuntla, and Abdullah T. Choudhry
Future Learning with Large Language Models: Applications and Research in Education (Editors: Myint Swe Khine, Bognar Laszlo, and Ernest Afari; ISBN: 9781032934327), 2025
Updates
2025
Awarded Tiger Roar Award for being an outstanding Resident Assistant Mentor!
University of the Pacific posted an article and video about my Neural Oceans research!
Awarded Fall 2025 Tiger Tech Award to fund research conference travel for ICMLA 2025!
Neural Oceans research paper got accepted at IEEE ICMLA 2025!
Founded and Elected as the 1st President of AIR: AI-powered Robotics Club! Pacific's first AI and robotics club!
Won at Cal Hacks: AI Hackathon 2025! Two awards: Best use of Gemini AI from Google and Best use of LLM Agents from Berkeley RDI and Nobel Era Group!
Selected as the only undergraduate and one of two total students to present research to the Dean’s Advisory Council
Awarded Summer Undergraduate Research Fellowship (SURF) 2025!
Walked at Commencement and Hooding Ceremony 2025 as Valedictorian, Summa Cum Laude, Departmental Outstanding Graduate and with Departmental Academic Excellence Award!
Won 2nd Place at HackHayward 2025 in the Sustainability with Artificial Intelligence track!
2024
Got a Co-op at NVIDIA working on HPC and Deep Learning Performance Engineering!
Send Me a Message
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