Hire Freelance Keras Developers and Engineers
Druce Vertes
Druce has a career that spans decades, and during that time he's worn many hats. Recently, he's been consulting on projects involving machine learning, alternative data, predictive analytics (Python, Sklearn, Keras, and TensorFlow). He's also worked as a quantitative analyst, IT manager, and developer with leading hedge funds and Wall Street firms and even served for three years a the CTO of a $2 billion long/short-equity hedge fund.
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Artem Kondyukov
Artem has a wide range of interests, mainly in the realm of machine learning applications for computer vision. He has been developing pipelines for computer-aided diagnosis systems (CNN, Python and Keras, NumPy, TensorFlow). He has experience in client-server applications for laser shooting galleries (C++ and Qt). He has developed a couple of simple web services (Python and Django, Scala and Play.)
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Rajeev Gupta
Rajeev is passionate about data and machine learning and has more than five years of experience in data science projects across numerous industries and applications. He's currently focused on cutting-edge technologies such as TensorFlow, Keras, deep learning, and most of the Python data science stack. Rajeev has used these skills to solve many real business problems in NLP, image processing, and time series domains.
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Alexandra Soroka
Alexandra's always wanted to work with mathematics and language, so she sought out an education that combined programming and linguistics—and has been quite successful. She has about five years of NLP experience at Yandex, a major Russian search engine, and two years at smaller companies plus freelancing. Most of her projects involve entity recognition, but she’s also ranked search results, generated query expansions, and done text summarization.
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Yuxiang Bao
Having studied advanced machine learning (ML) theory for the past three years, it’s safe to say Yuxiang knows ML quite well and he's delivered multiple projects using cutting-edge ML algorithms and tools. While at school, he also spent two years researching NLP. With a solid knowledge base in ML and NLP, hands-on experience, and exemplary communication skills—both written and verbal—Yuxiang will add value to your project.
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Alex Kim
Alex is an ML engineer with 10+ years of experience in the tech industry. He has shared his expertise as an invited speaker at various conferences and meetups, helped companies with their ML strategy, and advised startups on their Data Science curriculum. He's also the founder and organizer of PyData Montreal, Canada's largest PyData meetup.
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Karla Brkić, Ph.D.
Karla is a bilingual professional with a PhD in Artificial Intelligence and 10+ years of experience in developing outstanding computer vision, machine learning, and AI technologies as a dedicated research scientist. As a motivational leader, she thrives in building research agendas and managing complex projects to provide world-class products, systems, and platforms. She also forges lasting relationships and uses out-of-the-box thinking to drive cutting-edge research efforts.
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Emmanuel Tsukerman
Emmanuel graduated from Stanford University. In 2017, his ML-based anti-ransomware product was awarded Top 10 Ransomware Products of 2018 by PC Magazine. In 2018, he designed an ML-based malware detection system for Palo Alto Network's WildFire service (over 30,000 customers). In 2019, Emmanuel authored the Machine Learning for Cybersecurity Cookbook and launched the Cybersecurity Data Science Course on Udemy.
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Andrei Dore
Andrei is a machine learning engineer with over six years of experience. His projects have included computer vision, natural language processing, time series forecasting, classification, and regression. Andrei has deployed machine learning models on AWS cloud and developed REST services for machine learning models.
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Ilmira Terpugova
Ilmira is a data scientist with strong mathematical and programming background. She is hard-working, responsible and conscientiously follows deadlines. Ilmira produces valuable findings while also providing thorough, concise explanations and visualizations of the results.
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Matthias Denecke
Matthias is an analytical, highly adaptable computer scientist with extensive experience in machine learning, artificial intelligence, and natural language processing. He is skilled in providing guidance to resolve complex technical challenges. As a technical lead, he has a track record of success architecting, developing, and deploying commercial solutions using artificial intelligence.
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