Andrew Gui

About Me

My name is Andrew Gui. However many call me Gui (with a pronunciation as gooey). I'm currently an undergraduate Electrical Engineer at Pacific Northwest National Laboratory (PNNL) where my main project involves calibrating, testing, and analyzing the data from SensorFish devices. Prior to this, I also worked with another group where I co-authored research on Large Language Model architecture.

Alongside being an intern, I’m also a student that is currently attending the University of Washington for their Electrical and Computer Engineering bachelors. As well as a current husky boxer for the university's husky boxing team. Outside of school and work, I’m a fitness enthusiast that enjoys lifting weights, boxing, and anything that gets me moving. I also love being outdoors, especially on the water whether it be wakeboarding, waterskiing, or just cruising around on a jet ski.

Research & STEM Journey

🔬 Current Research: SensorFish Technology at PNNL

Working as an Undergraduate Technical Intern - Electrical Engineering, I analyze autonomous SensorFish and Mini SensorFish data to characterize fish passage conditions through dams. This involves extensive field testing, calibration, and precision soldering to create custom electrical connections between the autonomous devices and computer systems. I also develop Python/Tkinter GUI applications for data analysis and visualization, while researching equipment upgrades to modernize legacy data acquisition systems—effectively bridging hands-on hardware integration with modern computational analysis platforms.

Python/Tkinter Data Analysis Hardware Testing HBET Precision Soldering Circuit Integration

💻 AI Hardware

Co-authored research optimizing Large Language Models through Logarithmic Number System (LNS) implementations. Conducted comparative performance analysis of LNS vs. Floating Point architectures, contributing to next-generation AI hardware design and computational efficiency breakthroughs.

LLMs Architecture Codesign Performance Optimization Machine Learning

Fitness Journey 🏋️

Through sheer will and determination, I transformed my health and fitness — here's the journey so far.

The Beginning

2023 - Where it all started, being at 300 lbs.

Building Momentum

2024 - Consistency paying off, seeing real changes and getting stronger

Current Status

2025 - Stronger than ever, fitness is now a lifestyle, not just a goal

Daily Grind

Every day is an opportunity to become better than yesterday

🥊 UW BOXING TEAM 🥊

Pride. Poise. Team. Family.

As I grow and learn, I've realized boxing isn't just physical strength - it's about discipline, strategy, and mental toughness. These skills have directly translated to my academic and professional life, and I cannot thank my team leads, coaches, and peers enough. 💜💛

🥊 Boxing Training

Technical sparring, footwork drills, heavy bag work, and conditioning. Representing UW with pride!

💪 Strength Training

Powerlifting fundamentals mixed with hypertrophy work. Building functional strength that transfers to the ring.

🏃 Conditioning

High-intensity cardio, sprint work, and endurance training. Staying fight-ready year-round.

My Fitness Philosophy

Consistency, persistence, and constantly challenging yourself are the only ways to grow. The skills gained from training at the gym translate directly to playing sports, studying, working—really everything in life. It's okay to be scared, but it's not okay to stay scared. Every rep, every round, every challenge is an opportunity to prove that you're stronger than your excuses.

Work Experience

Undergraduate Technical Intern - Electrical Engineering | PNNL

June 2024 - Present (Part-time during school year)

Working with cutting-edge SensorFish technology, autonomous sensors that must survive extreme hydraulic forces while collecting critical fish passage data. My role spans the full engineering spectrum: precision soldering for reliable sensor-to-computer connections, executing rigorous calibration protocols to ensure measurement accuracy, assisting in building Python/Tkinter applications for data visualization, and analyzing the sensor data to characterize the harsh conditions fish experience (acceleration, pressure, rotation) in such dams. This position has taught me as well that impactful engineering requires both technical excellence and adaptability, especially when deploying systems in harsh conditions where reliability is non-negotiable.

Christmas Light Technician & Window Cleaner | Radiant LLC

November 2023 - February 2024 (4 months)

More than simply seasonal work, this role demanded creativity, project management, and leadership. I assisted and followed customers' custom design orders for holiday lighting installations, managing everything from initial concept to final implementation. On top of the lights themselves, I practiced strict adherence to safety protocols for elevated work, and training/mentoring new team members in both technical skills and customer interaction. The experience taught me valuable lessons about project management, client relations, and the importance of attention to detail.

High Performance Computing Intern | PNNL

June 2023 - August 2023 (3 months)

Selected for a competitive High Performance Computing internship, I conducted comparative analysis between LNS and traditional Floating Point architectures, exploring how next-generation AI systems could achieve dramatic efficiency gains. Through collaborative research, involving PyTorch implementations and dynamic data format exploration, I co-authored a conference paper published at MICRO 2024, one of the premier venues for computer architecture research. This internship showed me how innovative problem-solving can revolutionize AI capabilities, directly impacting systems like ChatGPT and other transformative technologies.

Crew Member | McDonald's

November 2022 - June 2023 (8 months)

I just put the fries in the bag. Sometimes nuggets or even a burger.

Certifications & Skills

✅ Current Certifications

📋 Microsoft Office Specialist 2019 (Word, Excel, PowerPoint, Outlook)

🎯 In Progress / Planned

💪 NASM (National Academy of Sports Medicine) Certification
🚑 CPR/First Aid Certification
⚡ AED (Automated External Defibrillator)

💻 Technical Skills

Programming: Java, Python (Tkinter GUI development)
Hardware: Precision Soldering, Circuit Integration, Equipment Calibration
Research Tools: SensorFish Technology, HBET, ROV Systems, Data Acquisition Systems
Specializations: AI/ML (LLMs, LNS), Environmental Sensor Data Analysis

My Portfolio

🐧

PenguinBudget

Smart Personal Finance Tracker

A modern, intuitive budgeting application designed to help users track income, expenses, and financial goals with real-time analytics and beautiful visualizations.

JavaScript HTML CSS

View Live Project →

GymTracker Pro v1.0

All-in-One Fitness & Nutrition Companion

Track workouts, PRs, measurements, progress photos, and calories in one. Although fully released, it's still in active development — expect regular improvements and feature updates.