Hire remote AI engineers near Toronto 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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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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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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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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Robert Tan
Robert has extensive data science and AI experience in the technology sector. He's worked with clients in the United States, Canada, Qatar, Jamaica, UAE, and the UK. He excels at distilling complex problem spaces into clarity in data. Robert is skilled in algorithmic analysis, BI, data analysis, synthesis, data/AI products, data harvesting, cleaning, and visualization. His past clients include an international airport and two property management firms with a combined AUM of $54 billion.
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Suhail Singh Bains
Suhail is a talented MuleSoft professional passionate about updating, refreshing, and modernizing legacy architecture. He developed a safety app that sends information to the local police with the touch of a button, providing a link to the IMEI number for tracking and a timestamp of the location. Suhail has contributed to MuleSoft documents and communities, giving countless presentations and talks on Azure, GitHub, and MuleSoft, inspiring others to work with MuleSoft and Salesforce technologies.
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Reza Fazeli
Reza is a highly skilled machine learning engineer with 11 years of experience. Currently working at IBM, he has developed and deployed cutting-edge machine learning algorithms to enhance virtual assistant products. His research at the University of Toronto focused on numerical modeling techniques for solving multiphase flow problems. With a strong background as a machine learning engineer and data scientist, Reza's expertise lies in natural language processing and computer vision.
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Tetyana Loskutova, PhD
Tetyana is a technology entrepreneur who strives to provide clients with end-to-end service when creating new software solutions or revamping old ones. Some of the projects she has completed include financial and accounting systems, ML-powered systems for NLP, forecasting, and anomaly detection. Tetyana has worked for clients in several countries and in various industries, such as energy, government, education, and biotechnology.
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Julien St-Pierre Fortin
Julien's expertise is deploying software solutions in data and AI. He is passionate about helping clients create innovative products and gain valuable insights from data. He genuinely cares about his clients and goes above and beyond to ensure highly successful projects.
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