Hire Freelance Object Detection Developers and Engineers
Jack Kwok
With 20 years of experience, Jack excels in developing complex software systems and custom deep-learning models for computer vision and natural language processing. He specializes in solving complex problems like 2D and 3D object detection, multi-object tracking, instance segmentation, and document understanding and classification. Jack has trained cutting-edge computer vision models for healthcare and autonomous driving problems, and he now focuses on LLM and generative AI.
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Vasil Yordanov
Vasil is a skilled machine learning engineer and cloud architect with 10 years of experience in signal processing, computer vision, object detection, and time-series and tabular data. He is fluent in Python, TensorFlow, Docker, and Kubernetes and has designed end-to-end ML systems on Google Cloud and Microsoft Azure. Vasil is also certified as a machine learning and data engineer and TensorFlow Developer.
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Erik Harutyunyan
Erik is a master's student at the Technical University of Munich, studying mathematics in data science. During his last job at SuperAnnotate, he worked on various complex assignments, including edge detection, semantic segmentation, object detection, active learning, knowledge distillation, filter pruning, and deployment on edge device projects.
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Lilit Yolyan
Lilit is an applied computer vision scientist with more than four years of experience. She's enthusiastic about solving real-life, everyday problems with computer vision. She works with an end-to-end AI pipeline from problem definition, data cleaning, and preparation to modeling, testing, and preparing the model for further deployment.
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Eduard Feicho
Eduard is a computer scientist from Germany with a passion for computer vision. He has extensive experience in the automotive sector as an ex-BMW, Hella, and Volkswagen self-driving car engineer. In London, UK, Eduard has developed and kickstarted Zappar's ZapBox: Mixed Reality for $30 project.
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Tom Kre Sal
Tom is a full-stack machine learning engineer with several years of experience in machine learning and software engineering, working on projects driven by smart algorithms and data. Tom gets a kick out of creating solutions to complex problems that positively impact the lives of others. Tom likes to keep abreast of cutting-edge technologies, which he then applies to production-ready systems—giving his clients an advantage over their competitors.
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Anna Tshngryan
Anna is a data scientist with four years of experience in data analysis and machine learning. She works on end-to-end processes, from data scraping, data collection, and pre-processing, cleaning, and data visualization to predictive modeling development. She is skilled in training a number of ML models, comparing them, and conducting error analyses. Anna is looking for projects that allow her to use data and machine learning to solve complex problems.
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Florijan Stamenković
Since 2004, Florijan has worked on a wide range of projects such as machine-learning platforms for large Croatian and Austrian sites, a high-performance database engine in C++, client-server systems in Java and more. Besides having strong technical skills, Florijan excels at translating a client's ideas and needs into fully functional software and has experience in project management and leading teams.
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Omar Sayed Mostafa
Omar is a seasoned senior AI engineer with 6+ years of experience in the AI industry, specializing in computer vision, natural language processing, and audio processing. Omar's journey into the world of AI has been fascinating, as he has actively contributed to multiple real-life AI products from inception to deployment. With a combination of hands-on experience and advanced academic training, Omar is well-equipped to tackle any AI challenge.
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Harut Margaryan
Harut is a computer vision (CV) engineer specializing in deep learning and solving problems by integrating CV models into real-life applications. He built an unsupervised image classification algorithm used in canteens to classify food on trays and a new method of planning spacecraft flights with reinforcement learning and Monte-Carlo tree search simulations, finding trajectories that would have saved fuel on the Voyager 2 flight. Harut is proficient in Python, Linux, and model deployment.
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Merve Acar
Merve is an experienced machine learning engineer who takes pleasure in revealing the story of data and building predictive models with a proven track record of designing and implementing pipelines for extracting, validating, cleaning, transforming, and modeling data. She is passionate about solving real-world industry problems and eager to take on new challenges and opportunities.
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