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