Hire Freelance Word2Vec Experts
Michael Seltenreich
Michael is a full-stack (MERN) engineer and data scientist (Python). In 2013, Michael co-founded and served as CTO of Becomics.com, a publishing platform for webcomics and home to 17 million works by independent creators. In 2018, he exited to pursue his PhD at New York University, where he currently works as a research scientist. In the wake of the COVID-19 pandemic, Michael created psyxperiments.com, a web platform for conducting psychology experiments on remote participants (by invitation).
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Henrik Sergoyan
Henrik is a data scientist with over six years of professional experience. His primary expertise includes and is not limited to natural language processing, forecasting algorithms, gradient boosting algorithms for tabular data, data scraping, and machine learning operations (MLOps). As a senior data scientist, Henrik works with SQL and NoSQL databases, including MongoDB, and brings strong project management skills and excellence to his work.
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Meghdad Farahmand
Meghdad has more than 15 years of experience in AI, including developing cutting-edge NLP models for international clients such as Siemens, Unilever, and Allianz. He has a strong theoretical background that includes a bachelor's in computer engineering, a master's in computer science with a specialization in AI, and a Ph.D. in computer science with a specialization in NLP.
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Cristian Cardellino
Cristian holds a PhD in Computer Sciences, specializing in deep learning for natural language processing. He is part of the natural language processing group in the Faculty of Math, Astronomy, Physics, and Computer Sciences at the Universidad Nacional de Córdoba (UNC), Argentina. In addition to teaching data science courses, Cristian is also a research scientist at Mercado Libre, the largest eCommerce platform in Latin America.
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Vahe Zakaryan
Vahe is a seasoned data scientist and machine learning scientist with 7+ years of IT experience and a software engineering background. He has been primarily involved in building and developing an in-house search engine, recommendation systems, and demand and supply predictions. His most recent projects are related to generative AI, such as Text2Image (Stable Diffusion) and LLMs (ChatGPT). Vahe is an expert in machine learning and deep learning and is keen on leading small teams.
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Reema Kumari
Reema has 4+ years of experience in machine learning and data analytics across various projects, such as movie scheduling, cargo space optimization, loan recovery, and digital products. She has focused heavily on natural language processing in the digital product space, and she is proficient in Python and R. Reema is also an incoming student in the UCLA Master of Engineering program, focused on artificial intelligence.
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Ilya Ezepov
Ilya is a data-obsessed analyst with experience in developing large-scale machine learning solutions and managing tech teams. He has proficient knowledge in statistics, mathematics, and machine learning combined with the scientific background. Ilya also loves acquiring new knowledge and sharing it with others.
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Federico Albanese
Federico is a developer and data scientist who has worked at Facebook, where he made machine learning model predictions. He is a Python expert and a university lecturer. His Ph.D. research pertains to machine learning. He can continuously learn and implement state-of-the-art algorithms during this process and become a better data scientist each day.
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Liam Moore
Liam is a machine learning scientist and engineer from a particle physics research background with experience leading various industry projects. He specializes in building bespoke statistical models, either using modern deep learning algorithms or classical machine learning combined with domain knowledge. Liam focuses on applying, developing, and keeping up to date with modern research while working with clients who care about creating social value.
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Matias Aiskovich
Matias is a machine learning engineer who’s delivered creative solutions for social impact projects. Matias's past experience includes working at IBM research as a machine learning engineer (collaborating with IBM’s Yorktown Heights research lab), co-founding a startup that develops research-backed cognitive games for the elderly (which was a provider for an Uruguayan government program), and working on several projects that use machine learning to innovate in the healthcare sector.
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François Le Lay
François is a seasoned leader with experience building data platforms and machine learning solutions at major technology companies and startups in B2C and B2B settings. François has spent seven years at Spotify building data infrastructure teams as a manager and leveraging machine learning techniques to improve the music catalog as a staff engineer.
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