Description
Technical Project Manager | Novinilya | Oct. 2020 – May 2023
Core competencies: Project Management, Product Development, Cross-functional Collaboration, Systems Integration, Prototyping, Microsoft Project.
- Led the development and commercialization of an Injection Molding Inspection System: Managed a cross-functional team to build a commercial product out of a novel R&D concept. (Link)
- Led a team for the release of vision-based inspection machines in production, with responsibilities including Unit Tests, Integration Tests, Prototype Tests, Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), procedure documentation, operator training, monitoring, and final approval.
- Performed MSA and other tests to prove the performance and precision of projects with vision-based measurement, using VDA and IATF standards for the automotive industry.
Machine Vision Engineer | Novinilya | Jun. 2020 – May 2023
Core competencies: Quality Inspection, Image Processing, Image Acquisition, Camera Selection, Optics, Lighting, HALCON, Python, Pylon Viewer, R&D.
· Delivered end-to-end vision-based solutions for industrial automation, automotive, machinery, etc.:
§ Injection Molding Inspection & Protection System: Designed and developed image processing algorithms for defect detection, and implemented an imaging mechanism overcoming lighting challenges, that enabled automated production, reducing human error/cost. (Link, Link)
§ Injection Molding Inspection Demo: Functional demo of the mentioned system to be used in presentations or exhibitions.
§ Ceramic Catalyst Support Inspection Machine: Developed algorithms for inspection, integrated QR code reader system by utilizing a smart camera and Profinet to automate quality control, and improved the quality of car catalysts to reduce air pollution. (Link)
§ Steel Slab OCR System: Programmed a deep learning-based method for recognizing the stamped digits code on hot steel slabs to minimize human error and risk to operator life. (Link)
§ Acrylic Teeth Sorting Machine: Improved the efficiency of sorting acrylic teeth by 90% by using a neural network-based classification system and significantly sped up the sorting process. (Link)
- Demonstrated expertise in camera calibration, selection of appropriate cameras, lenses, and lighting systems, and industrial communication protocols for interfacing with PLCs, troubleshooting, ensuring optimal performance, and integration of vision systems.
- Provided technical expertise on other projects (in an advisory role): O-ring, Fuel Line Quick Connector, Starter Motor Spring, Bottle Cap, Vial, Ampoule, and Blister Pack Inspection, and Printing Machine Roller Inspector.
· Developed deep learning systems requirements (as an R&D contribution): Created datasets related to plastic products, acrylic teeth, and O-rings and designed a Convolutional Neural Network (CNN) model for performing classification tasks.
