Hire remote AI engineers near Philadelphia or in a similar time zone
Bhavesh Kakwani
Bhavesh is an award-winning developer with a strong foundation in math and electronics. His professional experience includes end-to-end embedded software development and hardware design. His code runs on SpaceRyde's gondola and rocket, McMaster University's launched satellite, Quanta Vici's Bluetooth gloves, and Ecobee's IoT lightswitch. These projects are on embedded Linux and microcontrollers (both bare metal and RTOS) and are written in C, C++, and Python.
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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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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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Joseph Rach
Joseph is a cybersecurity professional who strives to be well-rounded while maintaining specialties in technical cybersecurity areas where he provides the best return on investment. As a master of many cybersecurity domains and fully qualified for all categories and levels of the IA workforce under the Department of Defense (DoD) 8140 and 8570, he advocates team-based approaches and promotes knowledge-transferable, shared, and open-source-based methodologies whenever feasible.
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Julio Oliveira
Julio is a machine learning engineer, specializing in big data analytics. For the past three years, he has helped major companies, such as Fiat Chrysler Automobiles and a Brazilian credit bureau, improve their machine learning platforms. By combining big data and analytics, he has developed machine learning pipelines that run hundreds of machine learning models. In addition to his industry experience, Julio teaches university and other online courses in machine learning and data science.
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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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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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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. 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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Jeremy Jacobson
Jeremy is a versatile data scientist with six years of experience that includes leading machine learning research projects and managing department teams. He has built data science and ML solutions used by faculty and external partners such as CareerBuilder and UPS. He was recognized by Google Education as a Google Cloud Faculty Expert and selected to the AWS Academy Cloud Council Faculty. Adept at picking up new skills quickly, Jeremy is committed to freelancing excellence.
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