Technologies I Use










About
I'm Sam, a software engineer from San Diego. I build products across the stack — React, Next.js, Node, Python, TypeScript — and I care about shipping things that work.
I've built CommitMate, an AI accountability coach for course completion, and S&S, an open-source privacy policy summarizer. I led frontend at Bubba Logistics and won at TritonHacks, YC's Corgi competition, and CipherHacks.
I move fast, but I ship clean, reliable work. If you're building something ambitious and need someone who can design, code, and deliver, let's talk.
Quick facts
Location
San Diego, California
Focus
Full-stack product engineering & AI
Experience
6 years coding
Featured work
Products I'm building
Wins & Recognition
Hackathon wins 100% winning rate
Work history
Experience
Lead Frontend Engineer
Bubba Logistics
Aug 2024 – Mar 2025 · Remote
- •Led frontend development, shipping production dashboards and internal tools in React and Next.js.
- •Owned UI performance and reliability, ensuring fast load times and smooth interactions.
- •Collaborated with backend and operations teams to translate requirements into clean, usable interfaces.
Python Development Intern
Private Company, Iran
Jun 2022 – Aug 2022 · Iran
- •Built Python scripts and tools to automate repetitive workflows and data processing tasks.
- •Used Pandas and scikit-learn to clean, analyze, and process data for business needs.
- •Wrote production code that supported daily operations and decision-making.
Education
Sage Creek High School
Yes, I'm still in high school.
Current Focus
Research Project
Predicting Viral Content on X
I'm training a gradient-boostedCatBoost, LightGBM, XGBoost mixture-of-experts model to predict which tweets will go viral on X. Which features drive virality? How does the model reason about virality? and if the model's decisions reflect biases or societal patterns?
Data Collection
Currently scraping and curating a dataset of over 250,000 tweets to ensure robust training data.
Performance
Achieving 75% classification accuracy in preliminary tests, with ongoing optimizations.
Architecture
Utilizing a Gradient-Boosted Mixture of Experts (MoE) architecture to handle complex feature interactions.
Get in touch
Work with me
I'm looking for internships and high-ownership roles on small teams building ambitious products.
If you need someone who can design, code, and deliver full-stack products, let's talk.
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