Hire remote AI engineers near Boston 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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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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Maxuel Reis
Maxuel is a data scientist and engineer with proven end-to-end data solution experience who quickly adapts to new technologies. He is skilled in batch and real-time machine learning, cloud computing (AWS, GCP, and Azure), big data (Hive and Spark), and data streams. He expertly combines data science and engineering for effective data management and business-aligned strategies. With an acting background, Maxuel has unique communication abilities that enhance teamwork and management.
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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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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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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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Dawid Smoleń
Dawid has delivered more than 30 successful projects in data science and machine learning. He has worked with both classical and deep learning solutions in a few industries. Dawid is focused on creating systems that follow MLOps best practices and design patterns. Having experience with many cloud providers, he is able to automate the whole ML process, from data gathering to automated deployments and continuous training.
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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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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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