Work Experience
Technical Lead @ Schneider Electric - Barcelona, Spain
04/2023 – Present
AI Engineer/MLOps @ Schneider Electric - Barcelona, Spain
11/2022 – 04/2023
AI Engineer @ Smiletronix - Barcelona, Spain
10/2021 – 10/2022
Education
Ph.D. Control Science and Engineering @ Shanghai Jiao Tong University
2017 – 2022
M.Sc. Control Science and Engineering @ Beijing Institute of Technology
2015 – 2017
B.Sc. Mechatronics Engineering @ Kocaeli University
2010 – 2015
Work Experience
Technical Lead @ Schneider Electric - Barcelona, Spain
04/2023 – Present
- Led a cross-functional team of 7 engineers in developing a global-scale chatbot application, managing full-stack deployment, MLOps, and DevOps processes
- Drove code quality improvements, mentored team members, and facilitated stakeholder communication
AI Engineer/MLOps @ Schneider Electric - Barcelona, Spain
11/2022 – 04/2023
- Architected automated data and CI/CD pipelines for AI models within cross-functional SCRUM teams
AI Engineer @ Smiletronix - Barcelona, Spain
10/2021 – 10/2022
- Built cloud-agnostic deep learning platform with MLOps stack (MLFlow, AWS, Kubernetes) and implemented computer vision architectures (EfficientNetV2, YOLO, Mask RCNN)
Education
Ph.D. Control Science and Engineering @ Shanghai Jiao Tong University
2017 – 2022
Thesis: Deep Learning in Chromosome Image Segmentation
M.Sc. Control Science and Engineering @ Beijing Institute of Technology
2015 – 2017
Thesis: Panoramic Camera Calibration and Map Building
B.Sc. Mechatronics Engineering @ Kocaeli University
2010 – 2015
Thesis: Ball and Beam Control via Image Processing
Publications
4 peer-reviewed publications on deep learning for chromosome image segmentation and denoising (2018-2021)
Certifications
10 professional certifications in AWS, DevOps, ML/AI, and Big Data from Coursera and Udemy
Awards
University Scholarship (SJTU) and Chinese Government Scholarship (BIT) recipient
Work Experience
Technical Lead @ Schneider Electric - Barcelona, Spain
04/2023 – Present
- Led a cross-functional team of 7 engineers (4 Full-stack, 3 AI) in developing a global-scale chatbot application
- Orchestrated full-stack deployment management, MLOps, and DevOps processes
- Implemented comprehensive code quality checks, standardizing the codebase and significantly improving overall code quality
- Provided mentorship and strategic guidance to team members, fostering professional growth and enhancing team performance
- Identified and addressed technical challenges, developing innovative strategies to overcome complex obstacles
- Facilitated effective communication between stakeholders and development team, ensuring alignment of project goals and timelines
- Conducted technical interviews to assess candidates and build a high-performing engineering team
AI Engineer/MLOps @ Schneider Electric - Barcelona, Spain
11/2022 – 04/2023
- Architected and implemented a robust automated data pipeline
- Designed and deployed an automated CI/CD pipeline for AI models
- Played a key role in cross-functional SCRUM teams, contributing to the development of stable and reliable products through agile methodologies
AI Engineer @ Smiletronix - Barcelona, Spain
10/2021 – 10/2022
- Contributed implementation of a cloud-agnostic platform for deep learning model training, evaluation, and deployment
- Spearheaded the implementation of cutting-edge computer vision neural network architectures
- Implemented EfficientNetV2, Mask RCNN, DeepLabV3, YOLOv5, and TensorRT Framework
- Engineered a comprehensive MLOps stack utilizing MLFlow, AWS services (S3, ECR, EC2), Kubernetes, ELK, and PostgreSQL
- Orchestrated comprehensive end-to-end data pipeline management, from acquisition and annotation to analysis, engineering, and optimized storage
- Contributed to product development within cross-functional, autonomous SCRUM teams
- Conducted technical interviews to identify and recruit top-tier talent
Education
Ph.D. Control Science and Engineering @ Shanghai Jiao Tong University
2017 – 2022
Thesis: Application of Deep Learning in Segmentation of Chromosome Images
M.Sc. Control Science and Engineering @ Beijing Institute of Technology
2015 – 2017
Thesis: Panoramic Camera Calibration and Map Building Based on Structured Lights
B.Sc. Mechatronics Engineering @ Kocaeli University
2010 – 2015
Thesis: Ball and Beam System Control using Image Processing
Publications
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2021 - Altinsoy, E., Yang, J., & Tu, E., An improved denoising of g-banding chromosome images using cascaded CNN and binary classification network. The Visual Computer.
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2020 - Altinsoy, E., Yang, J., & Yilmaz, C., Fully-automatic raw g-band chromosome image segmentation. IET Image Processing.
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2019 - Altinsoy, E., Yilmaz, C., Wen, J., Wu, L., Yang, J., & Zhu, Y., Raw g-band chromosome image segmentation using u-net based neural network. In International Conference on Artificial Intelligence and Soft Computing. Springer.
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2018 - Yilmaz, I. C., Yang, J., Altinsoy, E., & Zhou, L., An improved segmentation for raw g-band chromosome images. In 2018 5th International Conference on Systems and Informatics (ICSAI). IEEE.
Certifications
- DevOps on AWS - Coursera
- AWS Fundamentals Specialization - Coursera
- Deploying Machine Learning Models in Production - Coursera
- Docker & Kubernetes: The Practical Guide - Udemy
- SQL with PostgreSQL for Beginners: Analyze | Manipulate Data - Udemy
- PySpark & AWS: Master Big Data With PySpark and AWS - Udemy
- Python: Python Programming for Artificial Intelligence - Udemy
- Machine Learning and Python: A-Z Machine Learning - Udemy
- Natural Language Processing With Transformers in Python - Udemy
- Certificate of Attendance - AWS Innovate AI/ML Edition 2021
Awards
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2017 – 2021 - University Scholarship, Shanghai Jiao Tong University
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2015 – 2017 - Chinese Government Scholarship, Beijing Institute of Technology