Enes Sadi Uysal Email & Phone Number
Who is Enes Sadi Uysal? Overview
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Enes Sadi Uysal is listed as AI Engineer | Machine Learning, Computer Vision at Insider., a company with 713 employees, based in Istanbul, Türkiye, Turkey. AeroLeads shows a matched LinkedIn profile for Enes Sadi Uysal.
Enes Sadi Uysal previously worked as Machine Learning Engineer at Insider. and AI Engineer at Airnamics. Enes Sadi Uysal holds Master Of Science - Ms, Computer Engineering from Yıldız Teknik Üniversitesi.
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About Enes Sadi Uysal
In my recent role as an AI Engineer at Airnamics in Ljubljana, Slovenia, I led projects focused on image domain transfer to enhance computer vision-guided pick and placement operations. Leveraging unsupervised approaches such as CycleGAN and FastCUT, I successfully managed the simulation data generation flow, resulting in realistic representations of actual scenes. This experience positively influenced the architectural design of the image domain transfer pipeline.I possess a solid foundation in developing end-to-end deployable solutions for industrial counting problems, integrating object detection models with object tracking algorithms. This not only significantly improved counting system robustness but also showcased my commitment to finding comprehensive and efficient solutions for complex challenges.During my tenure at Huawei's Turkey Research and Development Center, I successfully implemented a preannotation tool for Object Segmentation tasks, reducing annotation costs. Additionally, I played a key role in developing a License Plate Recognition system, a deployable Face Recognition Application, and various other solutions involving object detection, tracking, and deblurring techniques. My ability to combine traditional methods with cutting-edge deep learning approaches reflects my versatility and commitment to delivering high-quality results.
Enes Sadi Uysal's current company
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Enes Sadi Uysal work experience
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Ai Engineer
- Worked and researched on applicable Real2Simulation and Simulation2Real domain transfer to improve computer vision guided pick and placement operations. Managed the simulation data generation flow to have realistic.
- Developed end to end deployable solutions for two industrial counting problems using object detection models with object tracking algorithms, thereby significantly enhancing the robustness of counting systems. The.
- Enhanced the functionality of the MLOps Tool at Airnamics by implementing new data manipulation methods. Additionally, comprehensive trainings for detection and classification models and all experimental work was.
Research Engineer
- Implemented a preannotation tool for Object Segmentation tasks, employing the Segment Anything Model (SAM). This tool made a contribution by reducing annotation costs.
- Implemented a License Plate Recognition system by combining traditional OCR techniques with deep learning approaches. This hybrid approach merged the strengths of both methodologies.
- Developed a deployable Face Recognition Application, employing state-of-the-art deep learning models and integration with real-world scenarios.
- Unattended Object Detection using depth maps for supervision.
- Deblurring and Superresolution techniques specifically designed for low-resolution videos and streams.
- Object Detection and Tracking system by leveraging the outputs of Pose Estimation models.
Ai Program Specialist
- Lecturer for several Computer Vision classes
- Part of the team that organizes the syllabus of the AI programs
Machine Learning Engineer
- Developed an Object Detection Model using Heat/Depth Maps for precise identification of cow udders in the field of Autonomous Milking Machines.
- Apple Quality Control system by combining traditional methods with Deep Learning techniques.
Ai Engineer Intern
Multiclass Segmentation with U-Net Pose Estimation with Dense Fusion
Computer Vision Engineer Intern
Made a project with Generative Adversarial Networks. Used CycleGAN for changing weather condition.Used CycleGAN for changing weather condition.
Colleagues at Insider.
Other employees you can reach at useinsider.com. View company contacts for 713 employees →
Bilal Günden
Colleague at Insider.
Türkiye, Turkey
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YO
Yavuz Oraltay
Colleague at Insider.
United States, United States
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YE
Yiğithan Erkut
Colleague at Insider.
Istanbul, Türkiye, Turkey
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HH
Hang Hoang
Colleague at Insider.
Vietnam, Viet Nam
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CN
Chi Nguyen
Colleague at Insider.
Ho Chi Minh City, Vietnam, Viet Nam
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MA
Muhammed Ali Boztepe
Colleague at Insider.
Istanbul, Türkiye, Turkey
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FA
Fernanda Araújo
Colleague at Insider.
São Paulo, Brazil, Brazil
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BK
Burak Köroğlu
Colleague at Insider.
Türkiye, Turkey
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EV
Eduardo Viel
Colleague at Insider.
São Paulo, São Paulo, Brazil, Brazil
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EM
Ezgi Melis Coşar
Colleague at Insider.
Ankara, Ankara, Türkiye, Turkey
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Enes Sadi Uysal education
Master Of Science - Ms, Computer Engineering
Bachelor Of Science - Bs, Computer Engineering, 3.61/4.00
Frequently asked questions about Enes Sadi Uysal
Quick answers generated from the profile data available on this page.
What company does Enes Sadi Uysal work for?
Enes Sadi Uysal works for Insider..
What is Enes Sadi Uysal's role at Insider.?
Enes Sadi Uysal is listed as AI Engineer | Machine Learning, Computer Vision at Insider..
Where is Enes Sadi Uysal based?
Enes Sadi Uysal is based in Istanbul, Türkiye, Turkey while working with Insider..
What companies has Enes Sadi Uysal worked for?
Enes Sadi Uysal has worked for Insider., Airnamics, Huawei, Inzva, and Polonom Robotics.
Who are Enes Sadi Uysal's colleagues at Insider.?
Enes Sadi Uysal's colleagues at Insider. include Bilal Günden, Yavuz Oraltay, Yiğithan Erkut, Hang Hoang, and Chi Nguyen.
How can I contact Enes Sadi Uysal?
You can use AeroLeads to view verified contact signals for Enes Sadi Uysal at Insider., including work email, phone, and LinkedIn data when available.
What schools did Enes Sadi Uysal attend?
Enes Sadi Uysal holds Master Of Science - Ms, Computer Engineering from Yıldız Teknik Üniversitesi.
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