Building intelligent solutions
Computer Science sophomore at UC Santa Cruz with hands-on proficiency in Python, C, and machine learning frameworks including PyTorch and Rockpool. A collaborative AI researcher driven to bridge technical AI capabilities with clear product value in dynamic, customer-focused teams.
About Me
I'm a Computer Science sophomore at UC Santa Cruz with a 3.81 GPA, passionate about machine learning, artificial intelligence, and research. My work spans neuromorphic computing, AI bias studies, and healthcare applications, paired with experience in rapid prototyping and sales engineering.
Through roles in sales engineering and customer service, I've developed strong communication and customer discovery skills, learning to translate complex technical value for investors, customers, and VCs. I love combining hands-on programming with collaborative, real-world research.
Location
Santa Cruz, CA
Education
UC Santa Cruz, Computer Science
3.81 GPA • Expected June 2028
Current Focus
AI Research & ML
Experience
Sales engineering and professional development experience.
Sales Engineering Intern
Sentry AI • Redwood City, CA
- Selected to represent Sentry AI, Startup Grind 2026 Startup of the Year, pitching its AI-powered computer vision security platform to 5,000+ attendees.
- Generated 150+ qualified leads in 2 days, including active investors, owning end-to-end follow-up across outreach, meeting scheduling, and CRM management.
- Completed a 2-week MBA-led Sales Engineering training program focused on pitching AI capabilities, customer discovery, and translating technical value for investors, customers, and VCs.
Marketing Committee
Alpha Kappa Psi • Santa Cruz, CA
- Participate in professional development, networking, and business-focused events.
- Design rush posters, campaign themes, and promotional materials to increase event visibility and student engagement.
- Support outreach and marketing efforts for rush events by creating messaging that attracts prospective members.
Featured Projects
Research and development projects that showcase my expertise in machine learning and software engineering.
Neuromorphic Computing
SNN Hypoglycemia Prediction
Building SNN architecture in Rockpool for short-horizon event prediction on healthcare data. Processing 14M+ glucose records with spike encoding and LIF neuron populations.
January 2026 - Present
AI Research
LLM Bias Research
Conducting research on large language models to measure bias in college admissions essays. Developing ML models to predict outcomes while identifying fairness concerns.
September 2025 - February 2026
Audio Classification
Audio Dataset Creation
Built a dataset of 2,000+ audio features for genre classification using Python and Librosa. Automated web scraping and ran baseline ML models for validation.
October 2025 - December 2025
Technical Skills
Languages
- Python
- C
- C++
- C#
AI/ML
- PyTorch
- TensorFlow
- Rockpool
Data Tools
- Pandas
- NumPy
- Librosa
Dev Tools
- Git
- Unity
- Linux (Ubuntu)
Let's Connect
I'm always interested in hearing about new opportunities, research collaborations, or just having a great conversation about tech and AI.
Send me an email