Co-Founder @Kodebusters - we bring Products to Market 5x faster and for a fraction of the cost

I help brands bring their customer experience into ChatGPT.

As more customers search, compare, and decide inside AI tools, brands risk losing control over how their products and services are represented. The best answer wins, and most brands aren’t shaping it yet.

At Kodebusters, we help teams extend their existing sales, booking, and advisory experience into ChatGPT - so customers can discover, choose, and convert with confidence, without changing core systems or workflows.

Before Kodebusters, I spent over a decade in product leadership roles at Mercedes-Benz, Amazon, Delivery Hero, and UPPER, building and scaling products used by millions.

Today, I work with founders, operators, and enterprise teams exploring how AI-driven discovery impacts customer journeys through focused advisory, pilots, and custom implementations.

If you’re thinking about how your brand should show up in ChatGPT, happy to compare notes or share a short demo.

Gleb Gordeev

Cornelsen Verlag GmbH

AI-Services for online learning tools. Integration of machine learning and knowledge tracing solutions into educational products.
Product: Adaptives Grammatiktraining für Deutsch als Fremdsprache.

Senior Product Owner

MBition GmbH

Strategical development of features for: Augmented Radio and Media Framework Backend.
Integration of digital maps from NAVIS AMS into MBiENT operating system.

Expert Product Owner

Developed following features for the navigation system: 
+ rain Information as Map Features for Car Navigation Systems; 
+ automatic extraction of on-street parking spaces using park-out events data; and 
+ traffic incident prediction using emergency braking data.

Senior Software Engineer 

Hochschule für Wirtschaft und Recht Berlin

Lectures on: Knowledge-based Systems, Algorithms Complexity, Stochastic Optimization, Data Mining, Expert Systems, Reinforcement Learning and Neural Networks.

Associate Lecturer (Lehrbeauftragter)

moovel Group GmbH

+Search engine optimization in digital maps. Lightweight free-text search application using N-Gram-based indexing methods in C++ for digital map technologies using data from OpenStreetMap. 
+ Search strategies to target mobility services using LUA. Improved search results for fast-retrieval of addresses, points of interests and common places.
+ Micro-webservices using node.js for improving learning to rank algorithms towards mobility place recommendations.

Software Developer

Hochschule für Technik und Wirtschaft Berlin

+ Lectures on: Algorithms Complexity, Sorting and Searching, Dynamical Programming, Probabilistic Graphical Models, Evolutionary and Machine Learning Algorithms.
+ Lectures on: Programming in Java (winter semester 2012/2013) and programming in C++ (winter semester 2014/2015).

Society for the Advancement of Applied Computer Science (GFaI) e.V.

Ssoftware developer and research associate in the area of Ambient Assisted Living for the project AMENAMIN (Ambient Energy and Ambient Intelligence for senior citizens with special needs). My tasks involved the development of IT infrastructure for the analysis and data management of energy-harvesting wireless sensor for monitoring:
+ Pressure sensors placed under bed-posts to track changes in the position of a person lying on the bed.
+ Current mental state of patients with dementia and to train the reaction and shape recognition of the patients towards a healthier mental state by means of serious computer games. 
+ Fall detection sensors, diapers wearable humidity sensors, body weight and heart rate monitoring. Programming languages used: ASP.NET, VS C#, Qt C++, SQL and TCP/IP. Project partners: Klinik für Psychiatrie und Psychotherapie - Charité Universitätmedizin Berlin, EnOcean GmbH and SMI GmbH.

Tools for the optimization of welding processes by means of adaptive surrogate models together with decision making algorithms. Our project partner was the Welding and Joining Institute RWTH Aachen.

Arizona State University

+ Joint project with Intel Corporation and School of Mathematical and Statistical Sciences (ASU) for modeling and implementation of computer simulations and data mining algorithms for the extraction of decision making strategies and the prediction of technology adoption in the semiconductor industry.  
+ Joint project with Penn State University and Montclair State University and Control Systems Engineering Laboratory (ASU), modeling and implementation of dynamical systems for adaptive behavioral interventions relying on control systems engineering principles with application to modelling daily fluctuations of human weight change. 
+ Programming languages used: Matlab/Simulink and R.

Postdoctoral research associate

Text & Form GmbH

Implementation of text-mining algorithms for sentence indexing using C# and ASP.NET. This improved the performance of the translation memory system. I also implemented a web-based translation memory system for translation management, this improved the usability of the system and reduced costs on software licenses for the company.

Software developer

Acrolinx

Implementation of text-mining algorithms for sentence clustering using Java to improve the information retrieval process. The results of this algorithms helped the company to get financial aid from the project Pro FIT for the development of  IRK (Intelligent Reuse Komponente), a software solution to automatically detect and generate standard sentences and fragments.

I was born in Mexico City, where I spent my childhood, youth, and did my bachelor and masters in Computer Science. I completed my PhD in Computer Science in 2008 at the department of artificial intelligence from the Humboldt University in Berlin.
My acquired expertise includes, among other things, software development, specially cloud services, from conception and design to technical development  and maintenance. In my roles at companies such as Mercedes-Benz, Cornelsen and GFaI, I have proven myself as a technical product manager, data scientist and software developer. Developing also software for Charité hospital and Intel.
Programming languages: Python, C/C++, Java, R and C#.
Research and Development Areas:
  + EdTech: Adaptive personalized learning (2021 - 2023)
  + Car Entertainment: Radio and Media Framework (2020 - 2021)
  + Digital Maps: map features services, integration of navigation services and map viewers (2014 - 2019)
  + Ambient Assisted Living: personalized health care, telemonitoring and energy harversting technologies (2011 - 2014)
  + Data Mining: association rules, clustering algorithms, pattern recognition (2010 - 2011)
  + Modeling and Simulation: dynamical systems, behavioral interventions and agent-based computational models (2008 - 2009)
  + Machine Learning: Genetic algorithms, reinforcement learning, probabilistic graphical models and text-mining (2006 - 2008)
  + Econophysics: distribution of wealth, investment strategies, portfolio optimization, mechanisms of coalition formation and statistical mechanics of complex networks. (2002 - 2005)

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Gleb Gordeev

Jesús Emeterio Navarro-Barrientos

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