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Artem Serebriakov

@artemserebriakov

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I build GenAI systems that automate embedded-software diagnostics and unstructured-text intelligence.

Germany

Message

What I'm looking for

I'm looking to build practical AI and GenAI systems, especially for software development, NLP, and automation, while working with cross-functional teams on technically rigorous products.

At CARIAD, I build GenAI solutions for embedded software development, integrating them into CI/CD pipelines. I developed a LangGraph and Model Context Protocol-powered diagnostic application that automates functional test-regression analysis for complex embedded systems such as VECUs.

Previously at iwis mobility systems, I built end-to-end information-extraction pipelines for unstructured text, from preprocessing through NLP experimentation. I also architected a Retrieval-Augmented Generation pipeline on Azure Functions using Azure AI Search and Azure OpenAI for semantic search and automated extraction.

I'm completing an MSc in Mathematics in Data Science at Technical University of Munich, researching language-model alignment through differentiable self-discrimination. My background combines machine learning, NLP, cloud systems, Python, SQL, C++, and rigorous mathematical foundations.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

CARIAD

Feb 2025 - Present (1 year 7 months)

Collaborated with cross-functional teams to integrate GenAI solutions into CI/CD pipelines. Developed an AI-powered diagnostic application using LangGraph and MCP to automate analysis of functional test regressions for embedded systems.

LangGraph Model Context Protocol (MCP)CI CD Python AI Embedded Systems Testing Validation

Education

Degrees, certifications, and relevant coursework

Technical University of Munich

Master of Science, Mathematics in Data Science

2023 -

Grade: 1.9

Activities and societies: Core coursework includes Deep Learning, Advanced NLP, Deep Generative Models, Deep Reinforcement Learning, Cloud Computing, Causality, and Algorithms for Uncertainty Quantification.

Pursuing a Master of Science in Mathematics in Data Science with a final grade of 1.9. Thesis focuses on aligning language models through differentiable self-discrimination.

Yandex Practicum

Data Scientist Professional Training, Data Science

2022 - 2023

Activities and societies: Developed 15 end-to-end data science projects; refined coding through iterative code reviews by senior data scientists.

Completed professional training in data science, building a portfolio of 15 end-to-end projects. Focused on Python and SQL for data analysis and machine learning.

School 21 (42 Network)

Core Software Engineering Program, Software Engineering

2022 - 2023

Activities and societies: Engineered Linux command-line utilities and bash scripts; developed a GUI-based calculator in C with Qt; collaborated in Agile teams to implement optimized C libraries.

Completed a core software engineering program focusing on C, Linux, and system programming. Developed custom utilities and a GUI calculator using Qt.

Bauman Moscow State Technical University

Bachelor of Science, Mathematics and Computer Science

2019 - 2023

Grade: 4.8

Activities and societies: Fully-funded merit scholarship recipient; presented data visualization research at the 2022 University Student Conference; authored research papers on tensor calculus, differential geometry, and adaptive forecasting.

Earned a Bachelor of Science in Mathematics and Computer Science with a final grade of 4.8 out of 5.0. Thesis on forecasting foreign economic activity indicators using adaptive methods.