Building intelligent solutions
Computer Science junior at UC Santa Cruz focused on software development, machine learning, and AI products. I build practical systems across healthcare research, developer tooling, and product strategy, with hands-on experience in Python, C, C++, PyTorch, and Rockpool.
About Me
I'm a Computer Science junior at UC Santa Cruz with a 3.78 GPA, passionate about machine learning, artificial intelligence, and building useful products. My work spans neuromorphic computing, AI bias studies, healthcare applications, and AI-native product development.
Through sales engineering, product strategy, and research, I've developed strong communication and customer discovery skills while learning to translate complex technical value into products people can use. I love combining hands-on programming with collaborative, real-world research.
Location
Santa Cruz, CA
Education
UC Santa Cruz, Computer Science
3.78 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.
Professional Development Committee
Alpha Kappa Psi • Santa Cruz, CA
- Coordinate professional development programming, including workshops and networking events for members.
- Previously supported the Marketing Committee by creating promotional materials and outreach campaigns for events.
Featured Projects
AI products and research projects that showcase my work across machine learning, software engineering, and product strategy.
AI Product
Symphony
Built an AI-native project management platform with a four-person university startup competition team, placing 2nd and earning a $2,000 award.
Designed LLM usage and spend analytics while driving product strategy, customer discovery, and feature planning across two live pilots.
March 2026 - May 2026
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#
- SQL
ML & Data
- PyTorch
- Rockpool
- Scikit-learn
- TensorFlow
- Pandas
- NumPy
- Matplotlib
- Librosa
Tools
- Git
- GitHub
- Linux (Ubuntu)
- Make
- Valgrind
AI Tools
- Anthropic API
- Claude Code
- OpenAI Codex
- Visual Studio
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