Hire Freelance Dlib Developers and Engineers
Egor Komarov
Egor is a skilled software engineer with several years of experience in iOS app development. Writing code is not only his job but also a passionate hobby that he spends his free time on. Egor has developed and prototyped more than 15 applications of different sizes and complexities—some of which are available in the App Store and are used by people every day.
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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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Igor Pejic
Igor is an experienced CTO with over seven years of development expertise. He has a master's degree in artificial intelligence and enjoys the utilization of machine learning in software development. Igor prefers to work on scalability and performance-intensive projects. He holds a work authorization for the UK as a Global Talent visa holder and in the EU as an EU citizen.
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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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Blake Byerly
Blake possesses both startup and large enterprise experience leveraging machine learning (deep learning and classical techniques) to drive value. He has applied machine learning to a variety of problems, including network event correlation, incident forecasting, resource-constrained scheduling, and eCommerce applications at scale.
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Roman Vlasov
Roman worked at Meta, has 15 years of experience in 3D and VR software development, and a Ph.D. in computer science. He has led and worked on projects of all sizes, from scoping requirements to launch, primarily focusing on VR/AR, games, 3D interactive applications, CAD, and computer vision. With expertise in various languages and platforms, like C++, Java, and C#, Roman has designed and developed cutting-edge products, including VR arcade games, facial recognition, and advanced medical imaging.
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Rafael Henrique Tibães
Rafael is a talented data scientist with expertise in credit analysis, insurance, and pricing. He has deployed AI models with real business and community impact. He developed algorithms for fingerprint matching under robust image scale variance caused by the individual aging, as part of the solution to help find missing children. A computer vision engineer with industry experience in biometrics, Rafael has solved complex face and fingerprint detection challenges, improving security and profits.
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Enrique Balp-Straffon
Enrique is a data scientist with an academic background in physics and neuroscience. Over the years, he has participated and led teams in several machine learning projects with both startups and corporations in the financial, healthcare, logistics, marketing, and energy sectors. Enrique has in-depth experience in different areas of artificial intelligence, such as computer vision, natural language processing, financial risk modeling, and so on.
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Ibrahim Mahmoud Ahmed, Ph.D.
Ibrahim is a veteran data scientist and software developer with a passion for deep learning and extensive experience in statistics and time series. Ibrahim is interested in helping businesses take full advantage of their data and take data-driven actions. His principle is to observe, model, and corroborate, disrupting the status quo with artificial intelligence.
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Erekle Shishniashvili
Erekle is a machine learning engineer with thorough research experience. He worked passionately to find new ways of pushing the limits of machine learning models. While working on new ideas, Erekle realized how theoretically conceptualized innovative ideas often do not work in real-life scenarios, so he decided to bridge this gap and bring all the innovative research to the industry.
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José Serra
José has considerable experience decomposing complex problems into smaller manageable ones, primarily in the areas of computer graphics, Computer Vision, and machine learning. His solutions intertwine concepts from multiple fields to achieve comprehensible and straightforward solutions. Most of his work has focused on applying state-of-the-art approaches and tailoring them for the specified task.
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