Vadim Markovtsev – Medium

Vadim Markovtsev

Published in
Better Programming

I Forked “Asyncpg” — And It Parses Database Records to Numpy 20x Faster

Presenting the fork of asyncpg — asynchronous PostgreSQL client for Python — based on NumPy structured arrays

Jun 2, 2022

I Forked “Asyncpg” — And It Parses Database Records to Numpy 20x Faster

Jun 2, 2022

Published in
Towards Data Science

My Continuous Integration takes too much time. How do I fix it?

Approaches to reducing the CI run times. Measure, optimize, leverage the hidden resources, and more.

Mar 23, 2022

My Continuous Integration takes too much time. How do I fix it?

Mar 23, 2022

Published in
Towards Data Science

How we optimized PostgreSQL queries 100x

Some of the tricks we used to speed up SELECT-s in PostgreSQL: LEFT JOIN with redundant conditions, VALUES, extended statistics, primary…

Mar 8, 2022

How we optimized PostgreSQL queries 100x

Mar 8, 2022

Published in
Better Programming

Continuous Performance Improvement of HTTP API

We developed an analytics HTTP API in Python. This is how we discovered what to improve to serve requests faster

Feb 23, 2022

Continuous Performance Improvement of HTTP API

Feb 23, 2022

Published in
Towards Data Science

How we optimized Python API server code 100x

Some of the tricks we used to speed up calls to our analytics API written in Python: played with asyncio, messed with SQLAlchemy, hacked…

Feb 9, 2022

How we optimized Python API server code 100x

Feb 9, 2022

Should you enlarge your PRs?

The empirical laws of how long it takes to review and release a pull request depending on its size. We inferred them from 100,000 pull…

Jun 10, 2021

Should you enlarge your PRs?

Jun 10, 2021

Published in
Towards Data Science

Deploying Kubeflow to a bare-metal GPU cluster from scratch

My experience of deploying Google’s Kubernetes ML toolkit on physical servers with multiple GPUs: tuning the host OS, installing k8s…

Mar 18, 2021

Deploying Kubeflow to a bare-metal GPU cluster from scratch

Mar 18, 2021

Published in
Towards Data Science

Fuzzy matching people names

I’ve recently had to solve an interesting problem: given two unordered lists with real people names, match identities in between.

Feb 25, 2021

Fuzzy matching people names

Feb 25, 2021

Published in
Towards Data Science

Hacking Google Coral Edge TPU: motion blur and Lanczos resize

Edge TPU is a powerful device that is capable of general-purpose image filtering thanks to efficient 2D convolutions and TensorFlow.

Nov 28, 2019

Hacking Google Coral Edge TPU: motion blur and Lanczos resize

Nov 28, 2019

Vadim Markovtsev

Vadim Markovtsev

Machine learning and software engineer. Development teams manager. Public speaker. Google Developer Expert in Machine Learning (2018–2021).

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