Kevin Lyvers

Computer Engineer | Software & Embedded Systems Engineer

Welcome to my website! I'm a Computer Engineer. A Graduate at the University of Illinois always looking for programming experiences and to use my knowledge to solve interesting challenges.

Education

University of Illinois Urbana-Champaign – May 2024

Bachelor of Science: Computer Engineering | Minor: Music

Technical Skills

Languages: C++, C, Python, SQL, Assembly, Bash, Verilog, TypeScript
Frameworks & Tools: React, Node.js, Docker, Git, Linux, CI/CD, AWS, GCP
Embedded / Hardware: Microcontrollers, Microprocessors, FPGA programming, PCB design, KiCad
Tools & Lab: Oscilloscope, Logic analyzer, Signal generator, Soldering, Spectrum analyzer

Strong interests include low-level languages and microcontrollers. Working with Arduinos, Raspberry Pis, and ESP32 has allowed me to explore hardware projects creatively, optimizing code and resources for constrained devices.

I also enjoy higher-level computing, web development, and machine learning. I have designed variations of my website for different projects using SQL, Google APIs, Web Security, User Authentication, and ML frameworks like TensorFlow and PyTorch. I've worked with CNNs, RNNs, and GANs for various ML projects.

Experience

Freelance Systems & Software Engineer

Jan 2026 - Present

Systems Architecture: Architecting performance-critical game engines using C++ and Python, implementing memory-efficient data structures and custom UDP-based networking protocols for low-latency synchronization.
Open Source: Contributing to graphics processing optimization for resource-constrained hardware (N3DS) and authoring deep-level system architecture documentation for FOSS tools like MuseScore.
Hardware Engineering: Performing precision electronic repairs and diagnostics utilizing oscilloscopes, multimeters, and fine-point soldering.

Sentio Insights – Full Stack Engineer

Feb 2025 - Jan 2026

Infrastructure & DevOps: Managed cloud infrastructure using Docker and GCP, ensuring high availability and scalability for performance-critical data tools.
Performance Optimization: Optimized high-throughput transcription engines and data pipelines using Python and C++, significantly reducing processing latency.
Tooling: Developed automated monitoring and debugging tools to identify and resolve system-level bottlenecks in production environments.
API Development: Built RESTful APIs connecting React frontends to Postgres databases, streamlining client-driven data analysis features.

Disney College Program – Attraction Operations

Aug 2024 - Jan 2025

Industrial Controls: Monitored and maintained safety-critical Programmable Logic Controller (PLC) systems and complex mechanical interfaces.
Safety-Critical Software: Managed daily operations of industrial control software, adhering to strict real-time safety protocols and mechanical integrity standards.

Projects & Technical Highlights

MIDI-Controlled RF Juggling Balls

Programmed microcontrollers to transmit MIDI data via 2.4GHz RF protocol for real-time music/light synchronization. Designed custom PCBs and housings in KiCad.

Self-Tuning Violin

Engineered a closed-loop system using high-torque motors and DSP algorithms for real-time pitch detection and automated string tuning.

Custom Operating System

Developed a BIOS-level OS modeled after the Linux kernel using Assembly and C. Built a custom shell and system call interface, debugged via GDB/QEMU.

Algorithmic Tools

□ Tetris Bot: Move-optimization engine based on game-state analysis.
□ Calculator Art: Python image-to-vector algorithm for TI-displays.
□ Math Wordle: Logic-based clones of the popular word game.

Get in Touch