Hire Freelance SageMaker Developers and Engineers
Matthew Alhonte
Matt has officially worked as a Python-based data scientist for the past six years; however, he's spent the last ten at the intersection of stats and programming (before the term data scientist had caught on). He combines strong technical skills with a rigorous background in experiment design and statistical inference. More recently, he's been focusing on machine learning, including some natural language processing and computer vision.
Show MoreAkhil Lohia
Akhil is a data scientist and economist by training with experience across academia and corporate projects. He has modeled large volumes of customer clickstream data for end-to-end machine learning pipelines using Spark and Python as well as census, questionnaire, and RCT data in a research setting. He communicates extremely well and has worked with teams across time zones. Akhil is also adept at picking up new skills quickly.
Show MoreMikayel Samvelyan
With a master's degree from the University of Oxford, Mikayel is a machine learning expert and data scientist specializing in natural language processing, computer vision, and reinforcement learning. He has substantial experience in research and development of deep learning solutions and has worked at such companies as Reddit, Mentor, and USC. Mikayel has co-authored several scientific publications at leading machine learning conferences.
Show MoreAndranik Khachatryan
Ando has an AWS Machine Learning Specialty certificate, a Ph.D. in computer science, and is passionate about machine learning. He specializes in "classical" machine learning, as well as computer vision with deep learning, and is constantly fascinated with GANs. He has experience deploying multiple ML products with Amazon SageMaker.
Show MoreIbrahim Mahmoud Ahmed, Ph.D.
Ibrahim is a veteran data scientist and software developer with a passion for deep learning and extensive experience in statistics and time series. Ibrahim is interested in helping businesses take full advantage of their data and take data-driven actions. His principle is to observe, model, and corroborate, disrupting the status quo with artificial intelligence.
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