Ian Junatas Email & Phone Number

State College, PA, US

State College, Pennsylvania, United States

Irving, Texas, United States

• Worked on development of experimental electric motors for humanoid robots, including design work, prototyping, and manufacturing, resulting in the successful integration of 70 motors into functional prototypes.
• Led the formulation of a robust manufacturing process for experimental motor stators, reducing production time by 30% and paving the way for scalable manufacturing.
• Designed and implemented custom fixtures that significantly optimized production efficiency, achieving a marked reduction in assembly time and contributing to a 37% increase in overall project productivity.

San Diego, California, United States

• Engineered and optimized a robotic system to deposit precise surface chemistry onto flow cells, enhancing the efficiency and accuracy of next-gen sequencing processes.
• Calibrated an automated quality checking vision system for flow cell surface chemistry, ensuring continued adherence to rigorous quality standards while improving overall product reliability and decreasing process time.
• Developed a Python script to meticulously monitor and analyze machine process time and utilization, providing critical insights for data – driven process optimization and resource allocation, resulting in increased.
• Spearheaded mechanical design enhancements and implemented customized fixtures on a machine, leading to a substantial 20% improvement in performance and process efficiency, thereby reducing production time and costs.

Plymouth, Minnesota, United States

• Worked with and supported a production line which started 1,000 parts a day and produced $600,000 in revenue per month at current yield percentages
• Revised extrusion specifications for a product in order to eliminate a dimensional issue, increasing product yield by 20%, resulting in estimated savings of $450,000 annually
• Worked to calibrate and improve the performance of an automated inspection system for finished products in order to decrease head count by two full – time equivalents
• Began investigation to characterize failure modes (DIS) and the common locations of their occurrence on a defect that made up 5% of yield loss, also representing $120,000 of COPQ (cost of poor quality)

Master Of Arts - Ma, Industrial And Organizational Psychology

Bachelor Of Engineering - Be, Mechanical Engineering

Activities and Societies: UTD ASME, UTD Aerospace Team, NOVIS Acapella, UTD Combat Robotics