Hire AI engineers near Washington DC or in a similar time zone
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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Parham Hamouni
Parham is a data and applied research scientist with 4+ years of machine learning (ML) and deep learning experience. With solid understanding and hands-on experience in Graph ML, natural language processing (NLP), computer vision, time series, generative adversarial networks (GAN), and statistics, he has been teaching Graph ML online and publishing academic papers. Parham successfully led projects using data engineering, clarifying ambiguous problems, and driving insight for the client.
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Leopoldo Corona
Leopoldo is a Certified AWS Machine Learning (ML) specialist who has worked in all data-related positions. He started his career early as a data research analyst and then became a data scientist, developing risk and fraud assessing models. When Leopoldo began struggling with bringing those models to production, he transitioned to an ML position focusing more on data-centric engineering, thus becoming a data engineer. Currently, Leopoldo is the head of data engineering at Clara startup.
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Diego Kiedanski
Diego is a Computer Engineer specializing in internet measurements and data analytics for internet traffic patterns. He has worked as a machine learning consultant on projects ranging from price optimization for insurance companies to remote sensing and computer vision to detect schools in remote areas for UNICEF. Diego has worked on three continents, from Yale University (USA) to national train companies (Luxembourg) and South America.
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Joseph Miano
Joseph is a data scientist with 3+ years of experience in computer vision, NLP, and tabular datasets. He's worked on analytics for large-scale medication adherence outreach programs, multi-task neural networks for brain microscopy image segmentation, and NLP models to detect COVID-19 outbreaks from news articles. He's also familiar with model explainability for credit risk assessment and fraud detection models. Joseph holds an MS in Computer Science with a specialization in machine learning.
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Darron Fuller
Darron has 15 years of experience in R&D and client-facing roles as lead engineer of mission-critical artificial intelligence and machine learning and advanced analytics software for notable clients in global media, renewable energy industries, and the U.S. Department of Defense. Darron holds a BSc in computer science and an MSc in data analytics engineering with disciplines in AI and machine learning, decision optimization/mathematical modeling, and computational statistics.
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Enes Gokce
Enes is a data scientist with seven years of experience in machine learning and natural language processing (NLP). He has a demonstrated history of working with deep learning and extensive experience programming in Python and R. His areas of professional interest include generative AI, large language models (LLMs), and hybrid AI solutions with retrieval-augmented generation (RAG) systems. Enes is a US permanent resident.
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Matthew de Marte
Matthew is a data scientist who has worked primarily in professional baseball, an incredibly fast-paced and demanding industry. He has utilized R and SQL databases with strengths relying on machine learning and predictive modeling to provide better data-driven decisions. Matthew is a fantastic problem solver with a data science skill set that can communicate technical findings to non-technical audiences.
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Matty Hogan
Matty is a serial entrepreneur, C-level officer of startups, and engineer who specializes in full-stack product development, particularly in Swift iOS. He's worked with numerous clients and startups to build their MVPs and accompanying back ends. Matty enjoys being part of a team and sharing a passion for challenging projects.
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Benjamin Breton
Benjamin is passionate about data science and enjoys operating in different sectors. He aims to identify business needs, design an adapting solution, and create value from data. Benjamin has prolific professional experience and has collaborated with 30 startups and large companies during 45 missions.
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Jeremy Jacobson
Jeremy, lead developer and solutions architect for AI within Ricoh USA’s Intelligent Business Platform (IBP) services, is a driving force behind cutting-edge AI solutions for organizations. With research experience at renowned institutions such as Emory University and the Fields Institute, he leverages a deep well of expertise to deliver impactful, innovative results.
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