Max Pechyonkin
Cloud Technical Solutions Engineer, AI ML at Google
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolMax Pechyonkin is a Cloud Technical Solutions Engineer focused on AI/ML at Google with eight years of hands-on experience applying deep learning and production ML systems to real-world problems. His background spans research-driven roles (deep learning at Salk Institute) to product and cloud-focused engineering across startups and enterprise environments, combining model development with scalable deployment on Google Cloud. Trained in finance to the PhD level and re-skilled through Udacity nanodegrees in ML and self-driving AI, he brings a quantitative, multidisciplinary perspective to ML solutions. Colleagues would describe him as a single-headed problem solver who sees end-to-end impact—from model design to cloud integration—bridging academic rigor and production engineering.
8 years of coding experience
3 years of employment as a software developer
MSF, Finance, MSF, Finance at University of International Business and EconomicsNanodegree, Machine Learning Engineer, Nanodegree, Machine Learning Engineer at UdacityBachelor, Finance and Banking, Bachelor, Finance and Banking at Academy of Economic Studies of Moldova
English, Russian, Chinese, Romanian
Github Skills (62)
pytorch10
python10
machine-learning10
fastai10
deep-learning10
tensorflow10
gpu10
nbdev10
jupyter9
data-science9
notebook9
artifacts9
ml9
deep-neural-networks9
neural-network9
Programming languages (7)
Github contributions (5)
pechyonkin/key-dl-architectures
Aug 2018 - Oct 2018
Contributions:41 commits, 27 pushes, 1 branch in 1 month
pechyonkin/sjaandi
Jul 2019 - Sep 2019
Visualizing and understanding predictions of convolutional neural networks.
Contributions:73 commits, 5 PRs, 43 pushes in 1 month
understandingdeep-learningconvolutionalmachine-learningneural-networks
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