Work experience

• Field Application Engineer

  ISRA VISION Part of Atlas Copco Group

  2023.05-Current

  (3 years)

  Developing internal tools with Python, JavaScript and EPROMI (internal dev-kit); testing ML/DL models for defect detection, classification, segmentation Improved defect detection accuracy by 10-20% through internal DL models working with R&D team Collaborate with clients, including POSCO and Hyundai Steel, to enhance steel production quality by high-accuracy defect detection and classification Recommend and implement advanced machine vision solutions utilizing deep learning and machine learning techniques for defect detection by customer needs and R&D team; Provide expert guidance and support to improve the accuracy and reliability of defect detection systems using state-of-the-art
• Researcher

  Koolsign

  2021.09-2023.05

  (2 years)

  Collaborated with hardware and software teams to deploy models on Hailo-AI-modules and Coral-USB-Accelerator Implemented 'mmdetection', 'yolov5', custom 'centernet-object-detection' and 'hailo-dataflow- compiler' into 'Dataset-Annotation-and-Training' Server and optimized front/back-end parts Compiled object detection models to hef(hailo-executable-file) format using Hailo-SDK, and tested their inference performance and accuracy with 'HailoRT' environment on Hailo-8TM M.2 AI Acceleration Module Developed face-recognition and emotion-recognition systems using insightface and yolov5 Technologies Utilized: Tensorflow, Pytorch, Docker(with swarm), Redis, MySQL, Flask, Lumen(php), Vue.js, Coral USB Accelerator, Hailo_SDK, GCP VM, Mosquitto(with python paho lib)

Educational experience

• University of Ulsan

  Smart IT Convergence, Computer Science

  2019.03-2021.08

  (2 years)
• National University of Uzbekistan - Tashkent, Uzbekistan

  Physics

  2013.09-2017.08

  (4 years)

Languages

Certificates