AI Research · Computer Science · Computer Engineering · Responsible AI
I build systems across AI, software, and hardware, with a growing focus on embedded intelligence, responsible AI, and research-driven engineering.
Featured project
Product / AI Governance
I designed and developed Responsiblize as a Responsible AI platform that combines consent, role-based oversight, usage analytics, prompt classification, and cloud AI. I also explored how this governance model could extend to embedded systems through ESP32 and edge-AI architectures.
Google and school authentication with student, parent, teacher, and administrator roles.
Prompt categorization and usage analysis through a policy-aware AI layer.
Parent visibility into AI usage while preserving appropriate student privacy.
Teacher and school workflows for classroom AI governance and academic-integrity use cases.
Early pilot
Feedback from students, parents, guardians, and educators helped evaluate usability, oversight, and the perceived value of responsible AI governance.
Who participated
Most-valued features
Feedback → iteration
Participant feedback identified opportunities around parent-configurable monitoring, content capture, additional oversight controls, and stronger parent-teacher coordination.
System architecture
ARCH / 01
Local AI classification and policy enforcement combined with cloud LLM reasoning for more complex requests.
Preprocessing, classification, safety checks, and policy decisions can be performed locally; advanced reasoning is routed to cloud LLM services.
ARCH / 02
A lightweight embedded architecture that runs local TinyML inference while integrating with the cloud platform.
The ESP32 handles compact feature processing and TinyML inference while the backend manages authentication, policy decisions, analytics, and cloud LLM communication.
IEEE CIS Dallas · 2026
Distinguished Speaker
Presented Responsiblize as a Distinguished Speaker at the IEEE CIS Dallas Technical Talk Series, “Bridging AI Research and Industry Practice,” hosted at The University of Texas at Dallas.
The presentation shared Responsiblize's approach to responsible AI governance, including consent, oversight, transparency, and safer adoption of generative AI.
View IEEE CertificateSelected work
Built an AI-powered Gmail automation agent using FastAPI, Gmail API, Auth0 Token Vault, and scheduled workflows.
02Built a multi-agent healthcare AI system that coordinates prescription generation, clinical reasoning, risk analysis, and policy-aware validation using patient context.
03Contributed to an AI assessment platform used by businesses to evaluate organizational performance and identify areas for improvement across departments, while supporting development and optimization of data-driven AI systems.
04Contributed improvements to an interactive haptic visualization system for exploring atomic interactions and materials behavior, connecting computational simulations with real-time physical feedback.
05Developed machine learning projects spanning computer vision, neural networks, data analysis, and applied AI research.
Research
Research experience at UT Austin.
Explored data science and research methods.
Research Internship in Quantum Computing
Worked on AI/software projects and data-driven systems.
Biomedical AI and medical imaging research.
Research
Published Research · JCSTS
Systematic analysis comparing Vision Transformers and convolutional neural networks across image classification tasks.
R02Published Research · JCSTS
Machine learning model for student stress-level classification with personalized recommendation outputs.
R03Biomedical AI Research
Performed medical image preprocessing, reducing noise and converting DWI to DTI scans to support AI-driven oncology research.
Credentials
C01 · 2026
IEEE Computational Intelligence Society (CIS) – Dallas Chapter
C02 · 2026
UT Austin
C03 · 2026
UT Austin
C04 · 2026
UT Dallas Department of Computer Science
C05 · 2026
Lumiere Education
C06 · 2026
Beaver Works Summer Institute course
C07 · 2026
Beaver Works Summer Institute course
C08 · 2025 & 2026
College Board
C09 · 2024
Stanford University / DeepLearning.AI
C10 · 2023
Python Institute
C11 · 2022
Python Institute
Recognition
IEEE CIS Dallas — Distinguished Speaker, 2026
Battle of the Brains — 1st Place Winner
UIL Computer Science — Regional Achievement
Lumiere High Honors Award
AP Scholar with Distinction
National Honor Recognition Program Awardee
RCM Flute Level 6 Certification
National Merit Scholarship Program (Letter of Commendation)
Outside the classroom
Led workshops, mentored students, and promoted collaboration in AI and programming.
American Red Cross volunteer for 3.5 years and City of Frisco volunteer for 1 year.
Completed Royal Conservatory of Music flute certification through Level 6.
Compete year-round while helping lead practices and mentor younger swimmers.
Journey
A timeline of the experiments, research, and technical work that gradually moved my interests from programming toward computer engineering and AI.
Elementary School
01 / 08
I began exploring how technology worked through simple games, puzzles, and early coding curiosity.