Resume
Applied AI and systems leader delivering advanced analytics, statistical enablement, and process optimization for global manufacturing operations.
Profile emphasis: applied AI systems, manufacturing analytics, statistical enablement, and production software delivery.
Summary
Jason T. Cole
Applied AI/systems leader and process engineering consultant with 20+ years leading analytics, automation, and AI/ML programs across manufacturing and enterprise environments. Builds enterprise data products, mentors international teams, and delivers measurable gains in quality, throughput, and digital capability. Current work centers on principal-level data analysis, manufacturing intelligence, statistical enablement, and production AI tooling. Core stack includes Python, SQL, Snowflake, Azure ML, Hugging Face Transformers, RAG, and agent orchestration patterns.
- Worcester, MA
- (508) 207-8993
- jtcole@gmail.com
- linkedin.com/in/jason-tyler-cole
- Natural-born U.S. citizen (no sponsorship required)
Education
Professional M.S. in Industrial Mathematics
Coursework Track (Extensive Graduate Credits Completed)
Worcester Polytechnic Institute
Completed a graduate credit load that exceeds many typical M.S. programs, with direct application in enterprise settings: translating complex ideas into mathematical programs at production-relevant scale.
B.S. in Ceramic Engineering
1998
Alfred University
Focused on advanced materials, process engineering, and defect analysis for high-performance ceramics.
Lean Six Sigma Master Black Belt
2007
Villanova University
Trained Green Belts and engineered DMAIC programs that cut critical defects by more than 60%.
Patents & Recognition
EP3231006B1 – Method for processing off-angle GaN
Led GaN wafer process innovation that eliminated a polishing step and delivered significant cost savings.
Saint-Gobain Life Sciences R&D Excellence Award
2017
Recognized for driving speed and quality across fluid systems programs.
Professional Experience
Independent Applied AI Builder (Agentic Workflows & Programming Systems)
Oct 2025 – Present
Independent
- Building agentic workflow systems and programming-heavy automation patterns for practical business operations, including multi-agent orchestration and reliability-focused execution loops.
- Designing deployable tooling that bridges LLM reasoning, structured data, and software engineering discipline for production-ready outcomes.
- Applying the same measurable-results mindset from enterprise manufacturing analytics to modern automation workflows, rapid iteration, and platform reliability.
Data Scientist – Corporate IT & Data Analytics
2022 – Oct 2025
CertainTeed / Saint-Gobain
- Operated as an applied AI and analytics lead, architecting enterprise APIs and applications such as the EDA DataSet API and EDA Explorer App for manufacturing users.
- Designed and deployed AI and Generative AI strategies, including Voice of the Customer analysis with Hugging Face Transformers and RAG chatbots for HR and Finance; active in AI systems for ~7 years and focused on agentic AI over the last 2+ years.
- Delivered plant-level exploratory analytics (e.g., Palatka drying efficiency, Kansas City net coverage) that informed governance and quality improvements.
- Mentored engineers and junior data scientists worldwide through SGU DnA Academy and STIPS programs while partnering with IT and data engineering on Azure ML, AILabs MLOps, and Snowflake deployments; invited industry expert contributor to STIPS certification exam development.
Data Science Competency Lead & Site Statistician
2017 – 2022
Saint-Gobain Research North America
- Served as the resident statistics expert, advising on DOE, Gage R&R, SPC, and practical JMP usage while hosting open consultation sessions for multiple divisions.
- Led an international team delivering plant analytics, AI investigations, and automated quality systems.
- Developed machine learning solutions for manufacturing, including real-time grinding wheel classification and the Shaped Grain Project from concept to continuous forming.
- Created automated ML monitoring for life sciences culture bags and designed global training programs such as DoE for Tape Solutions.
Senior Research Engineer & Project Leader
2012 – 2017
Saint-Gobain Research North America
- Transferred SOFC substrate technology to manufacturing, qualifying pilot volumes for Bloom Energy.
- Led customer-facing development for LG Fuel Systems, coordinating gel-cast ceramic part production across sites.
- Advanced GaN wafer processing, eliminating a polishing step that yielded a patent (EP3231006B1) and significant cost savings, while automating machine setup and data processing.
Quality Engineer & Six Sigma Change Agent
2007 – 2012
Schott North America
- Led DMAIC programs as a Master Black Belt, cutting defect crises by more than 60% and reducing nuisance material defects from 5% to 1%.
- Developed C#/.NET applications for defect trend analysis, saving over 16 engineering and administrative hours each week.
- Designed automated metrology systems with ±3 micron repeatability that secured new product contracts.
- Supported global defense customers with specification negotiations and compliance.
Process & Research Engineer
2003 – 2007
Saint-Gobain Industrial Ceramics & Plastics
- Led process engineering for cast ceramics, including forming, firing, and qualification while building custom databases and C#/.NET applications for process tracking.
- Transferred SOFC technology from Germany to the U.S. R&D center and established process controls for rapid development teams.
- Owned cathode development and compiled competitive patent landscapes for SOFC technology.
Development Engineer
2000 – 2003
Corning Inc.
- Led experimental design and defect root-cause analysis in glass melting processes, delivering more than 10% yield improvement in one year.
- Provided global troubleshooting support to plants in Japan and Korea.
Production Supervisor – Float Glass Manufacturing
1998 – 2000
AFG Industries
- Managed 30+ technicians in daily float glass operations, implementing performance programs that increased shift output and yield.