Alisa Dammer

Soft-, ML-, Simulation Engineer and Data Scientist

About me

I strongly believe that there is no perfect tool for each job, but more or less usable technologies and approaches - be open minded to find the suitable one.

If I am given the freedom to implement a project with no previous technical limitation, I promise, I'll make sure that the best possible stack is used. The codebase is clear, simple and maintainable. Documentation is present AND USEFUL!

I constantly learn new things both on my work and outside of the office hours. I like combining new approaches and theories together for existing problems. Giving back to the community through a talk or a workshop is also a part of my life

Professional Experience

Everbase AG (2015-05 – 2015-08)

Working student, Graphics manipulation, design

Eversolve (2015-08 – 2016-01)

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

Joblift (2016-04 – 2018-05)

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

FREE NOW (formerly MyTaxi) (2018-08 – now)

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

Programming languages

  • Python: 6+ years
  • Java/Kotlin: 2+ years
  • Rust: 1+ year
  • JavaScript: 1+ year
  • R: 2 years
  • Lua: 1 years

Data Bases: SQL, NoSQL, HDFS

  • Postgres, MySQL, MariaDB, BigQuery
  • Elasticsearch
  • Redis
  • S3, Google Storage
  • Neo4j
  • Hive/Presto

Stack

  • Flask, FastAPI, HttpIO, Pytest, Django, SQLAlchemy
  • Dropwizard, Spring, Mock, Hystrix+
  • Rocket, Actix-web, ggez (game engine)
  • Node.js, React

DevOps

  • Docker
  • Ansible
  • Linux
  • K8s
  • CI/CD (Heroku, Gitlab, Bamboo)
  • AWS, Google Infrastructure
  • Prometheus, Grafana, Kibana on top of logstash, Jaeger
  • Bash, Makefile

Additional Skills

  • OOP, ECS (entity component system)
  • Machine learning, Deep learning, Statistics, Econometrics
  • Natural languages: Russian (native speaker), German (fluent), English (fluent)
  • Graphic design (vector graphic, pixel art)

Education

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