Anatoly Stansler - Product Engineer at Encode

Anatoly Stansler

Product Engineer at Encode

Montenegro

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Summary

🤩

Rockstar

🎓

Top School

Anatoly Stansler is an AI-focused product engineer with 8+ years of experience shipping data-intensive platforms and production ML systems from 0 to 1. He combines full-stack development (Python, Go, TS, Kotlin) with cloud-native architecture (GCP/AWS, Kubernetes, Terraform) to build scalable, cost-efficient services and APIs used by enterprises like Accenture and customers of Postgres.ai. As a founding/product engineer he has repeatedly cut costs and latency—examples include a 50x simulation speedup at Encode and enabling <5s writable Postgres clones with 95% storage savings at DBLab. He blends hands-on SRE/DevOps work (ZFS, Neon, CI/CD) with applied ML (LLMs, RAG, agents) and has a track record of rapid MVPs and measurable product impact. Based in Montenegro, he’s an active OSS contributor whose early work on Sourcerer helped shape a production code-processing engine that scaled to millions of commits.

8 years of coding experience

7 years of employment as a software developer

Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Bauman Moscow State Technical University

English, Russian

Github Skills (21)

kotlin10

postgresql10

apidoc10

configuration-management10

databases10

java10

javas10

go10

zfs10

database10

cirrus-ci9

dockers9

cicd9

circleci9

bash9

Programming languages (6)

TypeScriptShellJavaScriptGoHaskellKotlin

Github contributions (5)

sourcerer-io/sourcerer-app

Jul 2017 - Aug 2019

🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.

Role in this project:

Full-stack Developer

Contributions:6 releases, 172 commits, 225 PRs in 2 years 1 month

Contributions summary:Anatoly's initial contributions focused on setting up the foundational structure of the Sourcerer application, including defining command-line arguments and establishing a basic application workflow. Subsequent commits indicate a shift towards more complex functionality, with the implementation of configuration management, including saving and loading configurations from YAML files. Further work was done on various API functionalities and data modeling.

repositoriesanalyticsreactkotlinengineering

postgres-ai/database-lab-engine

Oct 2019 - Mar 2022

DBLab enables 🖖 database branching and ⚡️ thin cloning for any Postgres database and empowers DB testing in CI/CD. This optimizes database-related costs while improving time-to-market and software quality. Follow to stay updated.

Role in this project:

Back-end & DevOps Engineer

Contributions:138 commits, 4 PRs, 1 push in 2 years 5 months

Contributions summary:Anatoly's contributions focused on the initial setup and implementation of core features for the DB Lab project. They were responsible for creating the foundation for the ZFS mode, including the necessary infrastructure for session management, clone creation, and starting/stopping Postgres instances. The commits demonstrate the integration of ZFS for database cloning, and system-level commands. The code additions also involve shell scripts for automated tasks and the configuration of Postgres.

followsoftware-qualitythindatabase-migrationsdle

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