Josef Moudrik
Backend EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior AI / ML Tech Lead.
Senior ML/AI Tech Lead and consultant with 10+ years of experience delivering AI-driven applications and backend systems. Skilled at analyzing client needs, designing architectures, leading cross-functional teams, mentoring engineers, and turning PoCs into production solutions. Strong theoretical foundation combined with practical leadership across finance, media, and government projects. Skills/Keywords: LLM, AI, ML, NLP, Python, backend, Docker, SQL/NoSQL, Unix/Linux, Git, FastAPI, JavaScript/TypeScript, Scala, Clojure, Java, C/C++, Dart/Flutter, statistical modeling, Bayesian methods, Monte Carlo, MCTS.
Charles University
Doctor of Philosophy - PhD, Artificial Intelligence, Unfinished
January 1, 2014 – January 1, 2020
Charles University in Prague, Faculty of Mathematics and Physics
Master of Science, Theoretical Computer Science, Artificial Inteligence
January 1, 2010 – January 1, 2013
Charles University in Prague, Faculty of Mathematics and Physics
Bachelor of Science, General Computer Science
January 1, 2006 – January 1, 2009
CEAI, Inc
Senior Machine Learning Engineer, Tech Lead
May 1, 2017 – June 1, 2019
Prague, Czechia
NCR Corporation
Software Engineer
February 1, 2014 – August 1, 2014
Prague
ententee s.r.o.
AI Consultant and Tech Lead
September 1, 2012 – Present
Prague, Czechia
Self-employed
Freelancing AI / ML Tech Lead.
January 1, 2012 – Present
Prague
Sun Microsystems
Software Quality Engineer
January 1, 2006 – January 1, 2007
GoStyle
January 1, 2012 – Present
The aim of the GoStyle project ( http://gostyle.j2m.cz ) is to investigate the possibilities of computer analysis of databases of Go game records using computer data-mining algorithms. Using sophisticated feature extraction methods combined with machine-learning algorithms, we are able to predict players strength and playing style, which both have wide number of possible applications, some of which we already realized.
Certificate in Advanced English (Grade A)
University of Cambridge, ESOL Examinations
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across different company types (startups, large corporations, self-employed) and roles (engineer, consultant, tech lead) suggests adaptability. Their academic background in AI and personal project in Go game analysis indicates a strong intellectual curiosity and passion for complex problem-solving, which could align well with an innovative culture. However, the primary focus on AI/ML might require a clear understanding of their interest and adaptability to a pure Backend Engineer role.
Soft Skills & Operational Fit
The candidate's experience as a Tech Lead and Consultant suggests strong leadership, problem-solving, and client-facing communication skills. Their work in highly regulated sectors implies an ability to handle complex constraints and deliver robust solutions. The description of 'focus on bringing value for the customers' indicates a results-oriented approach.