Alisa Dammer

Soft-, ML-, Simulation Engineer and Data Scientist

About me

There is no such thing as a perfect tool to build a robust system. Rather, there is a tool (or tools) that is the most suitable for each particular job. And that’s what I do: I make sure that the best possible stack to solve this particular problem is used. That the codebase is clear, simple and maintainable. That documentation is present AND USEFUL!

I constantly learn new things at work and in my free time: I like combining new and time-tested approaches to solve a problem I’m working on. I participate in conferences and workshops, sometimes as a listener and sometimes as a presenter: I enjoy giving back to the community that taught me so many useful skills for free.

Programming languages

  • Python: 8+ years
  • Java/Kotlin: 3+ years
  • Rust: 2+ year
  • JavaScript: 2+ years
  • R: 2 years
  • Lua: 2+ year
  • C#: 1 year

Data Bases

  • Postgres, MySQL, MariaDB, BigQuery, SQLlite, MS Server
  • Elasticsearch
  • Redis
  • S3, Google Storage
  • Neo4j
  • Hive/Presto
  • Cassandra


  • Flask, FastAPI, HttpIO, Pytest, Django, SQLAlchemy, Celery, RQ
  • Dropwizard, Spring, Mock, Hystrix+, FlyWay
  • Rocket, Actix-web, Sqlx, Diesel, GGEZ, Amethyst
  • Node.js, React, JQuery, Angular
  • Flutter, Dart
  • ASP.Zero, EF, ASP.Core
  • Love2d


  • Docker, Podman
  • Ansible
  • Terraform
  • Linux
  • K8s
  • CI/CD (Heroku, Gitlab, Bamboo, Jenkins, GitHubActions)
  • AWS, Google Cloud, Hetzner Cloud, Azure
  • Prometheus, Grafana, ELK, Jaeger, Sentry
  • Bash, Makefile, Justfile


  • RabbitMQ, Kafka
  • REST, GraphQL
  • Hyperfine, Oha, Heaptrack, Valgrind, PyFlame
  • Selenium, Cypress, Playwright
  • OOP, ECS (entity component system)
  • Machine learning, Deep learning, Statistics, Econometrics
  • Natural languages: Russian (native speaker), German (fluent), English (fluent)
  • Data Analysis: Metabase, Redash, Tableau
  • Graphic design/Prototyping: Inkspace, PixelArt, Tiled, Figma


Professional Experience

Freelance (2022-02 – ...)

Software and Infrastructure consultant

aestimium GmbH (2020-12 – 2022-01)

Senior Machine Learning Engineer (Bakend, Data pipelines, BI and Reporting, ML/DS)

FREE NOW (formerly MyTaxi) (2018-08 – 2020-10)

Machine Learning Engineer (Data preparation; streaming; chron jobs; backend engineering; highly specific, high performance simulation framework)

Joblift (2016-04 – 2018-05)

Fulltime software developer (Data Engineering, Backend Development, NLP)

Eversolve (2015-08 – 2016-01)

Working student, front end developer (Angular.js, Bootstrap, JS)

Everbase AG (2015-05 – 2015-08)

Working student, Graphics manipulation, design


Gymnasium №3, Novosibirsk, Russian Federation(1997-2007)

Novosibirsk State University, Economical Department, Economics (2007-2011)

The bachelor thesis consisted in proving that classical portfolio models are ineffective on modern Russian stock exchanges. Thus I suggested an adopted approach for choosing the portfolio for a private investor.

University Hamburg, MIN faculty, Information Systems study (2011-2015)

The goal of my second bachelor thesis was to check what language is more suitable for an econometric task written on the beginner level. Python and R were chosen for comparison, since these two languages are heavily used by both scientific and non-scientific communities. To answer this question I have written two identical Programs (with respect to the language's features and idiomatic style) in Python and R and have run performace and memory usage tests. I have also compared subjective usability (ease of use, documentation quality, community) of the langages.

Copyright 2015-present Alisa Dammer