Reagan Cook stood at a career crossroads when her undergraduate degree in mechanical engineering intersected with her recent master’s in data analytics.

She wanted to connect her experience in manufacturing with her burgeoning interest in data science but wasn’t sure which way to turn. Then, she stumbled upon a job opportunity that brought both into one path forward: A fellowship focused on artificial intelligence in manufacturing through the Partnership for Inclusive Innovation, or PIN.

“I happened upon this fellowship and the vertical I landed on was AI in manufacturing, which was a good marriage of the two disciplines,” said Cook, who began the one-year paid position over the summer. The PIN fellowship, part of Georgia Institute of Technology’s Enterprise Innovation Institute, places early career professionals into public and private opportunities.

The fellowship is made possible through support from Georgia Artificial Intelligence in Manufacturing, or Georgia AIM. Georgia AIM supports several PIN fellows each year through the AI in Manufacturing vertical. Participants spend six months working on a research project through the Georgia Tech Manufacturing Institute (GTMI) and then six months with a partner company where they focus on a project that enhances the use of smart technologies.

Cook recently completed her first six-month rotation as a researcher with the Melkote Advanced Manufacturing Research Group at Georgia Tech, working with GTMI Associate Director Shreyes Melkote. She is now in her next role at Carbice, an Atlanta semiconductor manufacturer.

That’s the interesting part of the PIN fellowship: those accepted into the program gain experience in both the public and private sectors. Upon completing the program, fellows enter the workforce with a unique, innovative skillset that contributes to the emerging roles AI is creating in manufacturing.

The PIN program also helps address a gap in the workforce. There is a growing need for professionals who understand AI and smart technologies, and the program’s public/private partnership provides useful training and experience to early career professionals who are eager to solve these challenges.

In Cook’s case, her first job after college was with a small manufacturer doing engineering design and CAD work. Her role expanded a bit to accommodate her data analytics background while working on her master’s degree practicum project. But due to the size of the company, her work returned to strictly engineering after she graduated. In contrast, through the PIN fellowship, Cook is working on developing machine learning models that can be used to search for parts in a database of CAD designs. This would allow manufacturers looking for CAD drawings or 3D models to find similar parts with designs already created, saving time by giving engineers a starting point. This research allows her to leverage both her analytics and engineering knowledge.

"I feel like I am learning a lot,” said Cook. The research position allows her to apply theoretical knowledge from her master’s degree in a research environment. “That’s been very interesting and eye-opening. I’m still early in my career and my only experience is fairly traditional corporate jobs, so working in the realm of the unknown is a different situation. With research, you’re just exploring and have no assurances that what you’re doing is going to work. ”

Moving to Carbice for the second half of her fellowship adds another layer of learning, she added, because it’s one thing to test out a theory in a lab; it’s different when you are working for a company that needs to see results.

“Working in the private sector allows you to identify and reality-check the needs of actual workplaces,” she added. “Because sometimes you have a compelling idea and interesting research, but in a corporate setting, first, is it useful, and second, if it is useful, is it even something the industry wants or is willing to adopt?”

This is a paradox Cook will face not only during the second half of her fellowship, but also going forward in her career. The foundational experiences attained through the PIN fellowship will give Cook an edge as she moves into her next role. Many manufacturers are interested in adopting AI and smart technologies, but the challenge is in identifying problems to solve.

Cook said she is confident the fellowship will give her new insights that can be beneficial to future employers. The program also offers networking opportunities and connections with respected professionals that will be beneficial in years to come, she added.

“It’s really good to have both the public and private perspectives. And because I’ve worked in a couple different manufacturing environments, I’m interested in how different my manufacturing rotation will be and if I can identify patterns, similar issues, or inefficiencies. And all that is useful knowledge to have,” she said. “For me specifically, the content of this work is going to be very helpful in tying my whole resume together.”

For more details on the AI and Manufacturing-focused PIN fellowship supported by Georgia AIM, visit the PIN website.