Fall 2026 — Exp. 2028
M.S. in Computer Science
University of Nevada, Las Vegas
Incoming graduate student.
Fitness
Training is a daily constant — the gym keeps me grounded and sharp.
01 — Home / About
I make things work — then I make them work well.
Computer Science graduate and incoming M.S. student focused on C++ and full-stack development, with hands-on experience across machine learning, automation, and cybersecurity. I take projects from raw data and algorithms through to deployed, performant software.
Technical skills
Languages
- C++
- C#
- Python
- JavaScript
- SQL
- Swift
- HTML / CSS
Frameworks & Tools
- Visual Studio
- TensorFlow
- PyTorch
- Docker
- ROS 2
- Git
- Shopify / Liquid
- Arduino / Raspberry Pi
Security & Networking
- Nmap
- Metasploit
- Wireshark
- tcpdump
- Shodan
- Censys
Cloud & Core
- AWS
- Data Structures
- Algorithms
- Predictive Modeling
- Full-Stack Web
- Automation
Outside of work
Bay Area roots
Grew up in the Bay. Lifelong Warriors fan — Dub Nation through and through.
Film
Big movie person. Always on the hunt for something worth watching.
02 — Education
Degrees & certifications
May 2025
B.S. in Computer Science
University of Nevada, Las Vegas
Dean's List · Honors
Relevant coursework: Analysis of Algorithms, Operating Systems, Machine Learning, Cloud Computing, Cybersecurity & Forensics.
Certifications
Certified Ethical Hacker (CEH)
Cloud Foundations
03 — Work Experience
Where I've shipped
E-Commerce Development Specialist
TC Medicore — Las Vegas, NV · Independent Contractor
- Engineered data-driven optimization algorithms in C++ to improve inventory allocation, reducing overstock and understock scenarios.
- Built JavaScript and AI-assisted automation to streamline Excel-based inventory tracking, demand forecasting, and sales analytics.
- Developed and customized Shopify storefront features in HTML, CSS, and Liquid, improving user experience and conversion.
- Authored SOPs and designed scalable fulfillment workflows, then led a cross-functional team to higher throughput and accuracy.
Front End Developer
siopaolo LLC — Remote · Independent Contractor · siopaolo.com
- Designed and deployed a responsive multi-page web app in HTML5, CSS3, and vanilla JavaScript with reusable header/footer components.
- Implemented responsive layouts via Flexbox and Grid; built an interactive JS carousel and an accessible hamburger menu with ARIA and keyboard support.
- Integrated embedded media and dynamic inquiry sections with semantic HTML, alt text, and visible focus states.
- Used Claude's VS Code integration to ship feature changes, UI polish, and bug fixes quickly during ongoing maintenance.
Founder & Owner
DinoSales — Amazon Storefront · Las Vegas, NV
- Built and scaled an e-commerce operation generating $10K+ in revenue in Q2 2024 through data-driven product selection and pricing.
- Automated business workflows with custom scripts and bots, cutting manual processing time and improving efficiency.
- Managed inventory forecasting, logistics, and fulfillment pipelines; analyzed market and competitor data to guide sourcing and pricing.
04 — Projects
Selected technical work
Repositories at github.com/dinoa7
F1tenth — Autonomous Racing
Fall 2024- Developed adaptive Python algorithms for speed control, steering, collision avoidance, and automatic braking on a 1/10-scale autonomous race car.
- Re-implemented core control and perception in C++, lowering per-loop execution time and improving real-time responsiveness.
- Implemented Pure Pursuit path tracking and LiDAR obstacle detection in Docker-isolated ROS 2 environments; team consistently won races.
Horse Racing — Machine Learning
Spring 2026- Designed end-to-end ML pipelines on large Kaggle datasets to predict race outcomes, using TensorFlow and PyTorch for training and optimization.
- Performed feature engineering, normalization, dimensionality reduction, and hyperparameter tuning to improve accuracy and generalization.
- Built a C++ backtesting and Monte Carlo simulation engine to replay predictions against historical races at scale.
UNLV Parkify — Smart Campus Parking
Spring 2025- Engineered a real-time smart parking system integrating embedded hardware, backend services, and web/mobile interfaces for garage availability.
- Built a responsive web app and a native iOS client (Swift) backed by a SQL database for live occupancy visualization.
- Implemented Arduino and Raspberry Pi sensor pipelines with ultrasonic sensors; presented to a panel of industry judges.