About
I'm a Computer Science student at Arizona State University's Barrett Honors College with a deep focus on AI and machine learning. My work spans biomedical imaging, computer vision, and generative AI — currently conducting research at people and robotics laboratory under faculty mentors.
I hold a GCP Professional ML Engineer certification, an AWS AI Practitioner certification, and certifications from Stanford, IBM, and Oracle. Outside of research and coursework, I've built ML models, full-stack web apps, and drone-based AI systems.
Education
Arizona State University
Barrett Honors College · B.S. Computer Science
- Barrett Undergraduate Research Fellow
- GPA: 4.0
- Honors: ASU Dean's List
- Relevant Coursework: MAT267 Calculus III, MAT243 Discrete Mathematics, CSE205 Object-Oriented Programming
- Extracurriculars: Claude Builder Club, Hacker Devils Club, AI Scholars Society, Volunteering
Basis Peoria
High School Diploma
- GPA: 4.65 (Weighted) · 3.92 (Unweighted)
- AP Computer Science Principles, AP Calculus I & II, AP Physics I & II, AP Biology, AP Latin, AP Chemistry, AP Environmental Science, AP US Government & Politics
- Honors: AP Scholar Award, NHS, JCL, NLE — 2 Gold Medals, 1 Silver Medal
- Extracurriculars: Debate, Varsity Basketball, Chess Club
Research
People and Robots Laboratory (PeRL)
Arizona State University · Mentor: Prof. Pooyan Fazli
Conducting research in computer vision, deep learning, and machine learning. Current focus: AI-Generated Video Detection — developing methods to detect synthetically generated video content using deep learning approaches.
Zero-shot & Few-Shot Learning for Rare Disease Diagnosis
ASU SCENE · Mentor: Prof. Jianming Liang, PhD
Research in biomedical imaging, deep learning, and computer-aided diagnosis, focusing on learning with limited labeled data for rare disease classification.
Barrett Undergraduate Research Fellowship
Arizona State University · Mentor: Prof. Jianming Liang, PhD
Focused on achieving state-of-the-art (SOTA) performance in biomedical imaging and computer-aided diagnosis through advanced deep learning techniques.
Projects
Physiq
AI-powered fitness and body analysis app using computer vision to assess posture, form, and physical metrics from a live camera feed. Processes body landmark data through ML models to generate personalized workout recommendations and progress insights in real time.
Pulse
Stock news intelligence platform with lexicon-based sentiment analysis (bullish / bearish / neutral) for user-built watchlists. Aggregates from Yahoo Finance & Google News, ranks articles by relevance and conviction, and lets traders filter by time range and importance threshold.
FADE
Autonomous platform that generates weekly GitHub PR digests and analyzes its own execution trace to classify AI steps as deterministic, rule-based, or AI-required — reducing costs by up to 99.8%. Outputs an optimized Python pipeline replacing non-AI steps with plain code.
NBA MVP Predictor
ML model trained on NBA MVP data and player stats from 1995–2024 to analyze the relevancy of each stat in contributing to MVP shares. Achieves 90% accuracy.
Certifications
- Introduction to Artificial Intelligence (AI)
- Getting Started with AI using IBM Watson
- Building AI Powered Chatbots Without Programming
- Python for Data Science, AI & Development
- Developing AI Applications with Python and Flask
- Building AI Applications with Watson APIs
Skills
Languages & Libraries
AI & Machine Learning
Cloud & Platforms
Spoken Languages
Contact
I'm always open to research collaborations, internship opportunities, or just a good conversation about AI. Reach out.