Caglar Coskunpinar Email & Phone Number

Atlanta, Georgia, United States

• Achieved 3.5X process improvement of the system by integrating the next-generation optical imaging system and optimizing the motion profile of the 3D printer axes.• Managed the software development process and a team of 4 for the next-generation optical imaging system.• In charge of integration, verification & validation, hardware and software improvements on the printer.• Utilized Python and computer vision to create an error detection system in the 3D printing process.• Created the FMEA documentation and the standard operating procedures(SOPs) for the process.

• Designed and built the proof of concepts and prototypes of a personalized robotic ocular prosthesis.• Used C++ for embedded control, machine learning optimization and integration, and computer vision.• In charge of electro-mechanical design and integration, developing the system requirements, designing and building experimental setups, hardware & software testing, and bi-weekly presentations.• Utilized SolidWorks for component design, top-level system assembly, and configuration management.• GC. Ates, C. Coskunpinar, et al. “Robust Residual Convolutional Neural Network Based Pupil Tracking forLow-Computational Power Applications”. (Engineering Applications of Artificial Intelligence, under review)

Miami, Florida

• Achieved 24.7% performance improvement of an Internet of Things (IoT) air quality monitoring system.• Cut the production cost by 53.5% by implementing Lean Six Sigma, rapid prototyping, Design of Experiments (DOE), and Design for Manufacturing and Assembly (DFMA) methods.• Manufactured and assembled 100 units soldering, using CNC machining, and working with vendors.• Used PTC Creo for the plastic enclosure and Autodesk Eagle for the PCB design.• Created and maintained the documentation and Bill of Materials (BOM) for New Product Development (NPD).

Istanbul, Turkey

• Utilized rapid & traditional prototyping and Agile Development Methods to integrate the electrical & mechanical systems and built the prototype of a fully automated CNC farming robot.• Used Design for Additive Manufacturing (DFAM) techniques to optimize the performance and the durability of the 3D Printed components.

Bachelor'S Degree, Mechanical Engineering, 3.81

Activities and Societies: UMaker Robotics Club (President), American Society of Mechanical Engineers, American Institute of Aeronautics.

High School Diploma, International Baccalaureate