Founder and President of AsterTech LLC, brings extensive experience in leadership, business development, program management, and technical advocacy, particularly in Microelectronics, System Engineering, and Renewable Energy. With a successful track record in defense contracting and technology development, Dr. Bag has won and managed new
Founder and President of AsterTech LLC, brings extensive experience in leadership, business development, program management, and technical advocacy, particularly in Microelectronics, System Engineering, and Renewable Energy. With a successful track record in defense contracting and technology development, Dr. Bag has won and managed new research contracts exceeding $250 million. His track record includes successful ventures in microelectronics manufacturing process development, supply chain security, and working experience in industry giants like IBM and Air Liquide. Dr. Bag holds a Ph.D. in Materials Science from Northwestern University and has received numerous awards for his innovative research, resulting in over 25 patents and publications in prestigious journals, including Science and Nature.
Christopher "Chris" A. Royse brings nearly 4 decades of experience in planning, budgeting, executing, and delivering client visions and user needs. With a background in military and civilian service, including the United States Army Special Forces and the FBI, Chris has achieved client successes and built a global network of subject matte
Christopher "Chris" A. Royse brings nearly 4 decades of experience in planning, budgeting, executing, and delivering client visions and user needs. With a background in military and civilian service, including the United States Army Special Forces and the FBI, Chris has achieved client successes and built a global network of subject matter experts. He holds graduate degrees from Wright State University and George Mason University, a Graduate Certificate in AI Management from Georgetown University, and completed a Residency at Cambridge University on Bioscience in Europe.
A serial entrepreneur with extensive marketing experience; Inventor of several 3D printed manufacturing technologies.
Previously founded SAS Automation, a leading international manufacturer of robotic end-of- arm tooling components, custom gripper systems and automation equipment, located in Xenia, Ohio. Mr. Fisher holds a Professional Engineering license from the State of Ohio and an Industrial Engineering degree from the University of Toledo.
A masters student at the University of Dayton, specializes in Robotics Engineering. He is involved in automation aspect of our certain projects.
Reagan, a Chemical Engineering specialist, is actively involved in our Navy-sponsored Hypersonic project.
Lauren is contributing to our DoD sponsored R&D projects .
Quinn is a computer science student with a talent for building AI tools using transformer models, OpenAI APIs, and full-stack frameworks like Flask and React. His enthusiasm for multi-agent systems and practical AI solutions is a great match for our fast-moving, innovation-driven environment.
Chaitanya brings valuable experience from IBM and Vodafone, with a strong foundation in AI development and DevOps automation. His interest in generative AI, applied ML workflows, and intelligent data systems makes him a vital contributor to our projects.
Vignesh, a graduate student in Computer Science, has developed AI-powered apps across sectors from agriculture to cybersecurity. With previous experience at AWS and Salesforce, he brings a deep understanding of scalable, cloud-native solutions.
Prachi, an MS student in Computer Science at the University of Cincinnati, has contributed to AI projects involving recommendation systems, language generation, and self-supervised learning. Her work—from deep reinforcement learning for music recommendation to optimizing text generation with dynamic vocabulary prediction—demonstrates her
Prachi, an MS student in Computer Science at the University of Cincinnati, has contributed to AI projects involving recommendation systems, language generation, and self-supervised learning. Her work—from deep reinforcement learning for music recommendation to optimizing text generation with dynamic vocabulary prediction—demonstrates her strength in building scalable models and experimenting with cutting-edge neural architectures..
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