Hire Freelance TensorFlow Developers and Engineers
Oliver Holloway
Oliver is a versatile data scientist and software engineer combining over a decade of experience and a postgraduate mathematics degree from Oxford. Career assignments have ranged from building machine learning solutions for startups to leading project teams and handling vast amounts of data at Goldman Sachs. With this background, he is adept at picking up new skills quickly to deliver robust solutions to the most demanding of businesses.
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Benjamin Breton
Benjamin is passionate about data science and enjoys operating in different sectors. His mission is to identify business needs, design an adapting solution, and create value from data. Benjamin has prolific professional experience and has collaborated with 25 startups and large companies during 35 missions.
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Behrang Koushavand
Behrang is a geo-statistician, data scientist, and professional engineer with 10+ years of industry experience. He has deep knowledge of multivariate statistics and industry scale optimization algorithms, classical machine learning, deep learning, and computer vision. Behrang has participated in 30+ Kaggle competitions and has experience with different types of data and ML algorithms.
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Madriss Seksaoui
Madriss is a dedicated data scientist and machine learning engineer who has six years of professional experience analyzing data, building, deploying, and managing the lifecycle of machine learning models. He has worked in various industries, including email, digital marketing, insurance, and edtech. Currently focusing on healthcare, Madriss is eager to work among the best talents on the most challenging projects.
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Darin Erat Sleiter
Darin is a data scientist and engineer with a PhD in physics from Stanford. He's passionate about data and machine learning and has worked on data science projects across numerous industries and applications. Darin's co-founded an AI company and led a team of data scientists to build a product which uses machine learning and optimization techniques to reduce energy consumption in data centers. He's eagerly waiting for quantum computers.
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Alexey Rodriguez Yakushev
Alexey is a professional with 13+ years of experience in machine learning, data science, and software engineering. He was a key contributor to large-scale systems in recommendations, music and audio analysis, click-through rate prediction, RTB auction price prediction, computer vision, compilers, and tools for software parallelization. Alexey enjoys working with teams to build impactful products.
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Peter Skvarenina
Peter is a high-energy developer looking for exciting projects that he can help grow. He has experience working in both large corporations and startups, having worked for some of the best tech companies, like JetBrains, Nokia, and SUN, and contributed to many #1 solutions in their areas. After completing a master’s in computer science and machine learning, Peter is now expanding his knowledge of deep learning at Stanford, exploring its use to automate cognitive tasks.
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Mohamed A. Abdelhady
An adept machine learning engineer, Mohamed excels in creating ML-powered products across varied domains. His expertise spans computer vision for KYC, graphs in fraud detection, and anomaly detection for AML. Leading data teams, he ensures robust risk coverage. Mohamed's proficiency extends to developing ML solutions for fintech fraud detection, autonomous robots, and precision machinery. He oversees complete ML lifecycles, excelling in requirements gathering, model training, and deployment.
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Iliyan Zarov
Iliyan is a machine learning engineer and full-stack developer with a decade of experience. He is a co-founder of an AI health-tech company backed by Europe's most prestigious accelerator. Iliyan was previously lead research engineer in the AI Research team at Babylon Health, building and scaling up the AI doctor to millions of users. Before that, he made a massively scalable distributed computing platform and worked as a quant at a hedge fund.
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Joel Jennings
Joel has a strong mathematics background and spent three years working as a software engineer at a consultancy firm, specializing in embedded software while gaining a broad knowledge of different technologies. He has worked as a machine learning engineer on a range of tasks, from implementing algorithms in research papers to engineering deployed machine learning systems. He is driven by projects that use exciting theories to solve real-world problems.
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Michel Meneses
Michel is a senior AI/ML engineer with comprehensive experience leveraging the latest AI research into development across multiple domains. With a solid technical background in ML and software engineering, Michel has assisted enterprises in successfully prototyping, benchmarking, and developing cutting-edge AI systems used by millions worldwide while authoring innovative scientific papers and patents.
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