Valeriy Mukhtarulin
Platform Back-end Lead
Chile
Summary
🤩
Rockstar🎓
Top SchoolValeriy Mukhtarulin is a Platform Back-end Lead with 11 years of experience building and scaling cloud-native APIs and ML-driven systems, currently leading backend and platform efforts at Veryfi from Chile. He specializes in Python, AWS, Kubernetes and performance optimization—having scaled document extraction APIs from 20 to 1000 RPM while mentoring junior engineers and coordinating cross-functional integration. Valeriy has practical DevOps and open-source chops, contributing documentation and Kubernetes/AWS guidance to the popular jupyterhub/zero-to-jupyterhub-k8s project and helping migrate services to EKS in prior roles. His background blends deep learning experimentation (object detection, transformers) with production-focused engineering and test automation, enabling reliable inference at scale. He holds a Master’s from MIET and brings a track record of improving test coverage, deployment automation, and operational performance in both startups and established teams.
11 years of coding experience
8 years of employment as a software developer
Master’s Degree, Master’s Degree at National Research University of Electronic Technology (MIET)
English, Russian, Spanish
Stackoverflow
611reputation
77kreached
5answers
6questions
Github Skills (22)
amazon-eks10
kubernetes10
kops10
jupyterhub10
iks10
aws10
kubernetes-pods10
k8s10
documentation10
k10
helm9
bash8
yaml7
scrapy6
jupyter-notebook6
Programming languages (15)
Github contributions (5)
jupyterhub/zero-to-jupyterhub-k8s
Feb 2019 - Apr 2019
Helm Chart & Documentation for deploying JupyterHub on Kubernetes
Role in this project:
Technical Writer & DevOps Engineer
Technical Writer & DevOps EngineerContributions:10 commits, 13 PRs, 7 comments in 1 month
Contributions summary:Valeriy primarily focused on updating and clarifying documentation related to setting up and configuring a Kubernetes cluster on AWS using kops and EKS. They added detailed instructions on topics such as setting up IAM roles, configuring SSH access, and integrating with AWS services like EFS and EKS. Additionally, they made updates to user environment documentation, particularly concerning conda environments and image selection.
deployingcharthelmjupyter-notebookhelm-chart
veryfi/veryfi-csharp
Sep 2021 - Apr 2024
This is the official C# client library for communicating with the Veryfi OCR API. || read: https://veryfi.com/csharp
Contributions:3 reviews, 5 PRs, 3 pushes in 2 years 6 months
apiclient-libraryveryfiocrocr-api
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