Gary Taylor
Interaction Designer
I combine technical expertise with a human-centered approach to create intuitive, accessible technology solutions that solve real problems.
About Me
Hi, I'm Gary.
I'm a UX-focused technologist with a background in Informatics and a passion for bridging people and process.
I earned my B.S. in Informatics from Indiana University, specializing in Human-Centered Computing.
I combine design, code, and hands-on systems work to create solutions that actually make sense to real users.
Most recently, I worked as a Manufacturing Engineer at Goodwill Commercial Services—leading process improvements, managing product transfers, and translating complex systems into practical results.
I'm now exploring new opportunities where I can bring creativity, technical expertise, and a human-first mindset to impactful projects.
Skills & Tools
Technologies and capabilities I bring to the table
Languages & Markup
APIs & Integrations
Frameworks & Libraries
Design & UX Tools
Hardware & Prototyping
Deployment & DevOps
Work Experience
Manufacturing Engineer
Goodwill Commercial Services – Indianapolis, IN
Aug 2024 – May 2025- Created and revised process documentation for ISO 13485 compliance
- Conducted time studies to identify bottlenecks and optimize efficiency
- Managed product transfers and led key manufacturing projects
Undergraduate Instructor
Indiana University – Luddy School of Informatics
Aug 2023 – May 2024- Taught introductory circuit design and prototyping through hands-on sessions
- Conducted soldering workshops for students
- Presented on AI tools in education at a statewide IT conference
Member Services Associate
Recreational Sports, Indiana University – Bloomington, IN
June 2022 – August 2024- Managed customer service, membership sales, and activity registration
- Supported risk management response during assigned shifts
- Optimized workflows and collaborated with team members to maintain efficiency
Projects
DK Stamping Process Optimization
Developed and implemented an improved ink stamping process for tracheostomy tubes, increasing production efficiency by 25%.
Amplatz Sheaths Grinding Process
Redesigned the grinding process for medical sheaths, reducing defect rates and improving consistency in the final product.
RA Taper Hand-Forming System
Created a standardized process for hand-forming dilators using glass mold techniques, ensuring consistent product quality.
Gare-E: Arduino Sensor Tank Robot
Built a responsive Arduino tank robot equipped with sensors, LED indicators, and a rotating ultrasonic turret. Gare-E detects obstacles, chooses alternative routes, and signals its movement direction using LED color codes. The turret scans for safe paths; if none are found, it executes a full 180° turn—like a little battlefield strategist.
AI-Powered Financial Insights Engine
Senior Capstone Project – Indiana University
Engineered a full-stack NLP-driven financial analysis platform that leverages GPT-4 to transform raw banking data into actionable insights. The system uses machine learning algorithms to process Plaid API data and generate personalized financial recommendations through a conversational AI interface.
Generative AI in Education: Adaptive Learning System
Designed and implemented an AI-powered educational platform that uses transformer-based models to generate personalized learning materials. Presented research on neural network applications in education at a statewide IT conference, demonstrating how machine learning can create adaptive learning paths based on individual student performance data.
Neural Audio Transcription & Summarization Engine
Developed a multimodal AI system that combines Whisper's speech recognition capabilities with GPT-4's natural language processing to automatically transcribe, analyze, and generate structured summaries from audio content. The system employs advanced NLP techniques to identify key topics and create hierarchical markdown summaries optimized for knowledge retention.
Mimic: Neural Voice Synthesis Discord Bot
Architected a real-time voice synthesis application using ElevenLabs' neural TTS models to generate ultra-realistic speech in Discord voice channels. The system processes natural language commands, selects appropriate voice models, and streams AI-generated audio with minimal latency. Deployed on Railway with a custom caching system to optimize token usage and performance.
Get In Touch
Contact Information
I'm always open to discussing new projects, opportunities, or partnerships. Feel free to reach out through the form or via my social channels.