Justus M.

Justus M.

Backend Python/Django developer

Request Rate

Justus has over 10 years of experience as a developer and entrepreneur with a proven ability to develop efficient web back-end systems using Python, C, Redis, and AWS. He has deep knowledge of modern technologies, markets, algorithm development, and advanced mathematics. Also, Justus is familiar with blockchain and Machine Learning technologies. His English is advanced. 


  • Python
  • Django
  • AWS


Datebot, United States

Co-founder & CTO

August 2017 to Present

Stack: Python, Machine learning, Tensorflow and Keras.


  • Writing AI that that handles socially awkward mens’ communications with women.

Inteliquent, United States

Senior Software Engineer

August 2016 to March 2017

Stack: Python, JavaScript, Docker, and AWS.


  • Built telecommunications back-end infrastructure.

SocialInsight.io, United States

Co-founder & CTO

August 2015 to February 2016

Stack: Python, JavaScript.


  • Responsible for all technology aspects of the business as CTO including software design and development;
  • Managed team of three engineers building tools in Python, JavaScript, and with machine learning capabilities;
  • Grew SocialInsight to a value of $1M+ (by applying industry standard ARR multiples).

Independent Consulting

June 2014 to August 2015

Stack: Python, Redis, AWS, and Redis Queue.


  • Wrote a sophisticated web crawler for task scheduling. Sold scraped data from high-profile sites including LinkedIn.

Bitcoin Arbitrage, United States


August 2013 to August 2014

Stack: Bitcoin, Ethereum, Solidity, Serpent, Viper, Smart Contracts and assurance of contract correctness.


  • Performed Bitcoin trading and wrote software that found Bitcoin Arbitrage opportunities built using Tesseract and BeautifulSoup to read exchange data, Numpy and Pandas to calculate trades for execution, and DigitalOcean.

Independent Consulting

July 2012 to August 2013

Stack: Python and NumPy.


  • Wrote advanced analytics software using a modern game theory algorithm  (Multi-Armed Bandit Theory) to increase statistical convergence by 17%+ over traditional A/B testing methods.

Professional Poker Player

January 2006 to June 2012

Stack: C.


  • Played online poker and built software for competitive advantage, including a poker bot, tools to analyze opponent playing behavior, and proprietary data analysis software. The C-based poker bot was sophisticated and included extensive algorithms built with discretionary poker knowledge, mouse pointer code that mimics human biomechanics, and had to overcome security and anti-botting mechanisms. Contributed heavily to contemporary poker theory.


Physics, Mathematics and Computer Science, Heidelberg University