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William Grisaitis
William is a data scientist with a diverse background and skill set, having worked on deep learning, time series forecasting, Bayesian modeling, and more. He has co-authored academic research applying deep learning to computational neuroscience and has worked in industry applying machine learning to financial markets and consumer finance. William graduated from Duke University where he studied physics, finance, and literature.
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Igor Stankevich
Igor is a results-driven quantitative development professional with progressive industry experience in commodities, deep learning, computer vision, and data science. He has demonstrated hands-on financial and AI software development experience with in-depth knowledge of Python. Igor consistently attempts to find the best value-add opportunities and contribute to the team as a whole.
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Rafael Toledo
Rafael has been working in artificial intelligence for almost 15 years. Half of this time has been focused on computer vision, where he developed solutions for background removal apps, image matting, OCR, color detection, face manipulation, and autonomous vehicle perception. His work involves developing real-world applications from scratch. In production, Rafael has built solutions with PyTorch, TensorFlow, TensorFlow Serving, and Flask, using cloud resources from Azure, AWS, and Google Cloud.
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Milan Panic
Milan is an experienced AI and machine learning (ML) technical lead with more than 10 years of expertise in software engineering and applied ML across the retail, automotive, healthcare, and web industries. He has a proven record of leading multimillion-dollar projects and deploying advanced computer vision and multimodal solutions at scale. Drawing on a strong academic background in mathematics and computer science, Milan focuses on deep learning, computer vision, and multimodal architectures.
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Enis Bayramoğlu
Enis started his career as an electrical engineer, moving through robotics to land in software engineering. He loves developing mobile games, working with data, developing web services, and automating their deployment. A recurring theme in Enis' work is his excitement for using abstract reasoning in order to get the job done.
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Adrià Ciurana Lanau
Adrià started programming at 11 with his father. He has explored many areas, but what has fascinated him the most has been IA algorithms. Adrià specialized in classical computer vision, where high level knowledge of machine learning models was necessary. With the emergence of deep learning (DL), he specialized in DL. For eight years, he has worked on disruptive innovation projects in IA and was a trainer in machine learning, deep learning, and statistics to companies and private schools.
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Ivan Vasilev
Ivan is an enthusiastic software engineer and machine learning researcher. His experience ranges across many fields and technologies, but his primary focuses are deep learning, Python, algorithmic trading, and Java. Ivan has written three books and has several open-source projects.
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Martin Mirakyan
Martin has several years of experience in machine learning and full-stack development while working for companies like Meta, Picsart, and YerevaNN Research Lab. He specializes in full-stack web development and AI and has completed many projects in this field. Martin is an exceptional communicator—with frequent reachouts—and has experience working in all types of teams, from small (five members) to large companies like Facebook.
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Hakob Kirakosyan
Hakob is a machine learning expert and scientific programmer with substantial experience delivering analytics and predictive solutions for business and scientific applications. Additionally, he enjoys developing video games based on augmented reality and remote human-computer interaction paradigms. Hakob is fluent in Python and C++ and has worked as a consultant in a variety of projects, helping clients achieve their goals.
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Omer Ishaq
Omer is a machine and deep learning researcher, engineer, and consultant with significant experience in academic research, consulting, and developing computer vision solutions in the software industry. He is proficient with PyTorch, OpenCV, Scikit-image, Scikit-learn, Google-Cloud-VMs, Google-Cloud-Run, and Google-Storage. Omer's interests include image classification, segmentation, object detection, clustering, low shot learning, image registration, and facial recognition.
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Hemen Ashodia
Hemen has over 14 years of experience in full-stack development and 10 with machine learning, contributing to hundreds of ML projects. He possesses hard-to-find expertise in artificial neural networks, deep learning, reinforcement learning, and generative adversarial networks. Hemen has also worked for companies that were later acquired by Intel, mainly for their machine learning development. He has worked with notable companies like Bitcoin.com, Tala, and Johnson & Johnson.
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