Timothy Gnorski
Milwaukee
Summary
Computer Engineering student with experience in embedded systems, operating systems, and applied AI. Developed reinforcement learning algorithms for real-time auditory biofeedback systems and built low-level kernel components including schedulers, memory management, and device drivers. Experienced in hardware–software integration, real-time control systems, and data automation at scale.
Overview
1
1
year of professional experience
Work History
Undergraduate AI Researcher
MU Speech & Auditory Biofeedback Research Lab
Milwaukee
01.2026 - Current
- Developed adaptive AI algorithms for a real-time auditory biofeedback system to improve second-language pronunciation accuracy
- Implemented reinforcement learning (Q-learning) to personalize speech adaptation policies based on individual acoustic compensation patterns
- Applied speech signal processing techniques including vowel formant manipulation and frequency-domain feature extraction for live acoustic analysis
- Collaborated with interdisciplinary faculty in Electrical Engineering and linguistics to deploy AI-driven pronunciation training tools
Undergraduate Researcher
MU MESS Lab
Milwaukee
01.2026 - Current
- Designed embedded control software for autonomous underwater vehicle, integrating thrusters, sensors, and implementing fault handling to enhance system reliability.
- Developed Arduino-based test programs to validate propulsion systems and debug control logic prior to full system.
- Conducted subsystem and full-system testing, identifying and resolving hardware-software integration issues to ensure optimal system performance.
- Collaborated with masters student to coordinate development tasks and testing milestones, facilitating timely system validation.
Data Automation Engineer
Glory Global Solutions
Lisle
06.2025 - 08.2025
- Designed NetSuite/JDE invoicing process for 300+ customers monthly, recovering $300K–$500K per month.
- Built a serial number tracking dashboard to capture $3M+ in tariff-related remittances.
- Collaborated with CFO and VP of Invoicing to refine strategies aligned with evolving policies and customer requirements.
Education
Bachelor of Science - Computer Engineering
Marquette University (MU)
Milwaukee, WI05-2027
Skills
- Reinforcement Learning
- Q-Learning
- Speech Signal Processing
- Embedded Systems
- Real-Time Systems
- Linux System Programming
- Data Structures & Algorithms
- Debugging & Hardware–Software Integration
- Interrupt Handling
- Memory Management
- Digital Logic Design
- PWM / I2C / UART
- Data analysis
- Git
Websites
Projects
- XINU Kernel, Built and extended Unix-like OS in C: Implemented serial device drivers, interrupt handling, context switching, and trap handlers in kernel-space C., Designed process scheduler, memory protection, heap manager, file system interface, and security modules., Tested and validated low-level system behavior including system calls, concurrency, and hardware abstraction layers.
- RISC-V Single-Cycle Processor: Designed and simulated 32-bit CPU in VHDL., Designed and simulated a 32-bit single-cycle RISC-V processor with structural VHDL., Implemented ALU, control units, register files, memory, and testbenches to execute programs.
- PSoC Microcontroller Infrared Door: Built a PIR-activated dual-servo pet door with synchronized PWM control on a PSoC MCU., Implemented motion-based door logic to open, hold, and close the door reliably.
- Executive Board Database: Designing a relational database to manage members, repertoire, arrangers, and performances., Includes schema design, ER modeling, normalization, and implementation of advanced SQL queries.
Leadership Extracurricular
- Member, Excellence in leadership (E-Lead), 10/24, Present, Engage in leadership development activities and team-based engineering projects.
- President, Gold n Blues Acapella (GNB), 09/23, Present, Lead group in ICCA, various competitions and concerts, and manage rehearsals for 18 people learning 20+ songs a year.
- Member, Sigma Phi Delta Professional Engineering Fraternity (SPD), 04/24, Present
- Volunteer, Go Baby Go/ Adaptive Toy Build Days (BMES), 09/24, Present, Lead HS and PT Undergrads to design and deliver adaptive mobility solutions for children with disabilities.
- Member, Tau Beta Pi (TBP), 04/24, Present
Timeline
Undergraduate AI Researcher
MU Speech & Auditory Biofeedback Research Lab
01.2026 - Current
Undergraduate Researcher
MU MESS Lab
01.2026 - Current
Data Automation Engineer
Glory Global Solutions
06.2025 - 08.2025
Bachelor of Science - Computer Engineering
Marquette University (MU)