welcome, my name is
Griffin
Kuchar
nice to meet you!
I am a builder.
A senior at Texas Christian University (TCU) studying Computer Science, Mathematics, and Economics, graduating with a B.S. in May 2027. I'm the product of cultivating Machine Learning undergraduate research and CS tutoring with two strong industry internships at AMD.
At my core, I am a creator and a builder who sets and achieves his own goals: learning new skills, meeting new people, and maturing as both a person and an engineer along the way.
I am currently searching for Summer 2027 internships before beginning my master's in Fall 2027.
About
I'm obsessed with systems-level architecture, agentic software design, and real-world machine learning applications (especially in social media and finance). As a result, I cannot stop consuming (and soon publishing) information surrounding these topics.
Outside of engineering, I love fitness (primarily running and lifting), my dogs, the Spurs, and everything outdoors.
Roles I'm Most Interested In
- ▹AI Engineer
- ▹ML Engineer
- ▹Software Engineer
- ▹Data Engineer
- ▹Data Scientist
Focus Areas
Values
Skills
Languages
ML / AI
Web / Backend
Data / Cloud / DevOps
Tools
Experience
AMD
Systems Engineering Intern - Mobile Systems (SoC) Team
May 2026 - August 2026 | Austin, Texas
- ▹Developed an agentic AI automation tool adopted by 250+ engineers for first-level hardware debugging.
- ▹Expanded on my prior validation tool by implementing an agentic loop that autonomously downloads, analyzes, and root-causes hardware failures, cutting debug time by 80%.
- ▹Implemented Jira OAuth 2.0 integration and AMD OIDC SSO, improving the user experience by reducing the number of steps to sign in by 40%
TCU
AI/ML Research Assistant - NextGen AI Research Lab
January 2026 - Present | Fort Worth, Texas
- ▹Collaborated with TCU's nursing department and Children's Health Dallas to develop a Machine Learning PEWS model that improved detection of pediatric patient decompensation.
- ▹Engineered the end-to-end ML pipeline, including data preprocessing, feature engineering, model training and evaluation, and hyperparameter optimization.
TCU
Undergraduate Teaching Assistant - TCU Computer Science Department
August 2025 - August 2026 | Fort Worth, Texas
- ▹Tutored 60+ first- and second-year computer science students across three programming courses, improving assignment completion rates and boosting average exam performance by 10 points.
- ▹Provided programming, debugging, and problem-solving support for: COSC 10403 - Intro to Programming, COSC 10603 - Intro to Python for Data Analysis, and COSC 20203 - Techniques In Programming
- ▹Presented to 50+ students as a guest speaker for TCU, sharing insights from my AMD internships and providing career guidance, resulting in 5+ students reaching out for mentorship and application guidance.
AMD
Validation/Debug Engineering Intern - System Validation Team
May 2025 - August 2025 | Austin, Texas
- ▹Built a chat UI adopted by 20+ engineers that queries Jira tickets by translating plain-English into structured JQL via the OpenAI API, cutting ticket-searching time by 50%.
- ▹Designed and executed stress-test and benchmarking workloads with 15+ unique components across 20+ systems, validating AMD CPUs/APUs by catching defects before customer release.
- ▹Identified and automated a debugging workflow bottleneck by architecting a JavaScript internal tool (later expanded into a multi-agent system), reducing manual debug time by 50% for 5+ engineers.
Projects
Agentic AMD Hardware Debugger
- ▹LLM-powered full-stack agentic web app that automatically debugs hardware test failures.
- ▹Agent loop that autonomously runs debug tools on downloaded files, iterating until it declares a root cause or reaches its token/loop limit.
- ▹Adopted by 250+ AMD engineers across multiple teams worldwide.
ML Pediatric Decompensation Predictor
- ▹Research ML model predicting pediatric decompensation early in collaboration with Children's Health Dallas and TCU Nursing.
- ▹Trained on 15,000+ patients using vitals, PEWS scores, labs, sepsis indicators, and clinical notes across 8 evaluated classifier models.
Roadmap
