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About Me
Hey, I’m Seth Williams 👋. I’m a Project Manager at Forge Battery, working on digital twin and manufacturing initiatives. On the side, I contribute to AI/ML for science projects with Hugging Face. I’m also pursuing a Master’s in Software Engineering at Georgia Tech.
When I'm not coding, you’ll find me playing soccer, tennis, and volleyball, cheering for the Steelers, or experimenting with new recipes in the kitchen!
Education
- B.Sc Chemical Engineering
- University of South Florida
- Graduated May 2023
- GPA: 3.81/4.0
Skills
- Typescript
- React.js
- Java
- C#
- Python
Work Experience
Forge Nano
Simulation Engineer
July 2023 — Present- Built digital twins of new production lines using Emulate3D, testing control logic and buffer strategies, reducing potential downtime by 30% before physical installation.
- Developed Python scripts to automate simulation parameter updates (downtime, cycle times, scrap), saving 20+ hours per week of manual data entry.
- Integrated simulation results with SQL databases to track KPIs like throughput, uptime, and material flow efficiency, increasing model-based predictions’ accuracy by 25%.
- Collaborated with controls engineers to validate simulation data against real-time PLC signals, reducing discrepancies between simulated and actual line performance by 15%.
211 Tampa Bay Cares
Data Analyst/Software Engineer
January 2023 — July 2023- Designed and deployed a mobile app in Flutter for Android and iOS, increasing volunteer engagement by 40% and reducing service request response time by 25%.
- Implemented biometric authentication and data encryption, improving data security and lowering unauthorized access incidents by 30%.
- Created data visualization dashboards for management, enabling faster allocation of resources and improving operational efficiency by 20%.
- Analyzed service request data to identify trends, contributing to a 15% increase in program outreach effectiveness.
Mars
Data Science Intern
May 2022 — August 2022- Designed Python-based data pipelines to clean and process sensor data from high-speed packaging lines, handling over 2 million data points per week.
- Applied machine learning models to predict scrap rates, reducing material waste by 12% on targeted lines.
- Built Power BI dashboards to visualize downtime, buffer usage, and yield trends, increasing visibility for operations leadership and supporting data-driven decision-making.
- Conducted statistical analysis recommending parameter adjustments that reduced waste variability by 18%.
Raytheon
Software Engineer Intern
May 2021 — August 2021- Developed C# and .NET applications to automate report generation, saving engineers 10+ hours weekly on manual reporting.
- Built a web-based dashboard (React + Node) to visualize real-time metrics from test equipment, improving engineer accessibility and reducing issue detection time by 25%.
- Integrated software tools with MSSQL databases, cutting manual data entry by 50% and improving cross-team collaboration.
- Wrote unit tests with XUnit, improving software reliability and reducing post-deployment defects by 15%.
Featured Projects
Hugging Face - AI For Allergies
Developing ML pipelines for food allergy research, including microbiome embedding generation and k-fold evaluation of baseline models for allergic vs. non-allergic patient classification.
Secrets OAuth App
Secrets is an authentication focused web app that allows users to register, log in, and anonymously share secrets. It implements OAuth authentication using Passport.js alongside traditional local auth, emphasizing secure user sessions and protected routes.
Arduino Wall Sensing Robot
Built and programmed an Arduino robot to autonomously avoid obstacles, teaching hands-on STEM skills for the Girl Scouts of America.
