Hire remote AI engineers near Calgary 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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Derek Owens-Oas
Derek has a PhD in statistical science from Duke and has worked as a data scientist and software developer at Xylem. He's the founder of Tech Smart Magic. Published in the Journal of Classification and a TA of the year, he's an expert in research and teaching. He provides interactive apps, visualizations, and reports. Derek's Python and R programming, top AI and ML methods, and ability to communicate make him an asset to any company. His specialties include text data and online social networks.
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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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Belal Esawe
Belal is a senior machine learning engineer with over eight years of experience who has successfully delivered cutting-edge solutions to renowned brands like Gucci and Armani. His expertise in image classification, segmentation, NLP, and data analysis enables him to drive innovation and enhance businesses. With a PhD in computer engineering focusing on machine learning, Belal brings to the table a strong research background that successfully prompts him to tackle complex challenges.
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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 eight 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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Saher Sajid
Saher is an experienced computer vision engineer with an extensive ability to synergize traditional machine learning methods and contemporary approaches. Excelling in object detection, recognition, and visual data synthesis, she has an impressive track record of thriving solutions: creating an innovative speed estimator using stereo vision at Hazen.ai and contributing to Saudi Arabia's e-governance program at Addo.ai. Saher aspires to improve model accuracy and reduce training time continuously.
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Felice Rando
Felice is an expert in machine learning, predictive analytics, and big data, having built dozens of solutions across multiple verticals, including finance, fraud, telecommunications, and pharmaceutical research, deriving business value from raw data. He has served both as a practitioner and analytics executive in organizations such as OECD, the University of Washington, First Data, ID Analytics, and multiple start-ups. Felice has a Master's degrees in theoretical and applied statistics.
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