Aleksandr Gorbunov
Co-Founder @ muunai | TUM | Oxford | TUM.ai
About
I build scalable software and agentic systems from prototype to production. Over the past four years, I have developed and deployed products across healthcare, telecommunications and enterprise automation. I am currently working on muunai.com, automating clinical documentation and administrative workflows for medical practices with ~100 paying customers. Previously I researched multimodal agentic systems for cardiac MRI assessment at the University of Oxford and TUM; built production LLM agents and ML pipelines for a major MNO; developed full-stack internal process automation tools; and designed secure vehicle hardware and networking architectures for several OEMs and Tier 1/2 suppliers. I also led the Industry Department at TUM.ai with 13 members, overseeing 10+ AI/ML engineering projects.
Work Experience
muunai
Jan 2024 - Present
Co-Founder
- Building an AI-native platform for German medical practices, automating clinical documentation and administrative tasks to give doctors more time for patient care. Integrated with all major German practice management systems.
- ~100 paying daily active users across Germany.
- Selected for the AI NATION grant out of 200 startups nationwide. Supported by TUM Venture Labs and LMU IEC.
University of Oxford
Nov 2025 - Present
Graduate Researcher - AI for Healthcare
- Researching a novel agentic approach for end-to-end cardiac MRI assessment from raw images to grounded clinical interpretation. (OpenAI Agents SDK, LangFuse, PyTorch, Hugging Face)
- Supervised by Prof. Dr. Cheng Ouyang (Oxford) and Dr. Jiazhen Pan (TUM). Conference submission in preparation.
Sopra Steria
Mar 2024 - Aug 2025
Machine Learning & Software Engineer
- Contributed to an LLM agent deployed in production at a major European MNO for plain-language interaction with a cellular network digital twin used by hundreds of network engineers. Developed agent tools, worked on prompt optimization, set up the evals pipeline. (LangChain, LangGraph, LangFuse)
- Led development of an XGBoost regression pipeline predicting cell tower construction durations: feature engineering, hyperparameter tuning, evaluation and production deployment with continuous retraining. (XGBoost, scikit-learn, MLflow, Azure)
- Co-developed a RAG-based internal document search system and an LLM-based news aggregation prototype for TMT industry monitoring. (React, Next.js, FastAPI, LangChain, Qdrant, Selenium, Prisma)
CYRES (acq. by Yarix)
May 2022 - Feb 2024
Automotive Cybersecurity Analyst
- Developed a CAN bus testing tool for automated validation of secure boot/update protocols. Built an LLM-based prototype for cybersecurity concept generation from TARA outputs, reducing draft creation time from 2 FTE-weeks to minutes.
- Conducted TARA and developed technical cybersecurity concepts incl. hardware and low-level software cryptographic protocol specification for 4 automotive ECUs (OEM, Tier 1/2). Defined vulnerability monitoring and incident response procedures for 3 clients per ISO/SAE 21434 and UNR 155.
- Co-authored the "ISO/SAE 21434:2021 Workbook".
Technical University of Munich
Oct 2022 - Feb 2023
Teaching Assistant
- Conducted exercise sessions on digital circuit simulation tools for 50+ students at the Chair of Integrated Systems. Reviewed practical lab assignments.
Education
Technical University of Munich
Oct 2022 - Nov 2025
M.Sc. in Robotics, Cognition, Intelligence
- GPA: 1.8 (German scale).
- Interdisciplinary program in Robotics, CS and AI. Specialized in NLP, computer vision and IT security.
- Thesis: "An Agentic Multimodal Framework for End-to-End Cardiac MRI Diagnostics" - joint research project with the University of Oxford.
LMU Innovation & Entrepreneurship Center
Oct 2023 - Jan 2024
Incubator Program in LMU Innovation
- 3-month startup incubator covering market validation, business model development and pitch coaching.
Center of Digital Technology Management (CDTM)
Apr 2023 - Aug 2023
Seminar in Business Modelling & Prototyping
- Developed a technical architecture and business concept for a self-sovereign identity management system based on SIM cards, in collaboration with researchers from the Chair of Network Architectures and Services (TUM). Presented to a mobile network operator.
Technical University of Munich
Oct 2019 - Oct 2022
B.Sc. in Electrical and Computer Engineering
- GPA: 1.6 (German scale) - Top 10%.
- Specializations: IT security, embedded systems, digital circuits, signal processing.
- Thesis: "Investigation of a Post-Quantum Secure ABE Scheme and Evaluation of Its Applicability for Embedded Devices".
Peter the Great St. Petersburg Polytechnic University
Sep 2018 - Jul 2019
B.Sc. in Electronics and Nanoelectronics
- GPA: 4.75/5 - Top 5%.
- 2 semesters completed as a prerequisite for admission to TUM.
Leadership & Activities
TUM.ai Student Initiative
May 2023 - Present
Active Alumnus (ex. Head of Industry Department, Software Engineer, Recruiting)
- Led the Industry Department with a team of 13 members. Managed project acquisition, staffing, event organization and supervision of 10+ AI/ML engineering projects totaling over €150K in revenue.
- Contributed to an internal review tool for efficient applicant evaluation.
- Organized recruitment for new TUM.ai cohorts. Conducted 100+ personal and technical interviews.
Honors & Awards
Deutschlandstipendium
Oct 2022 - Sep 2024
Issued by Technical University of Munich, Infineon Technologies & Henkel
- Annual scholarship awarded by the German government to the top ~2% of TUM students. Received for two consecutive years.
Healthcare Hackathon Berlin
Nov 2024
Issued by PwC Deutschland & Microsoft
- First place for building a patient triage automation tool for the emergency department in collaboration with UKSH hospital.
Certificates
Issued by TÜV Rheinland
Skills
Python
JavaScript
C/C++
Git
VHDL
PyTorch
Scikit-learn
XGBoost
LangChain
Langfuse
OpenAI Agents SDK
Weights & Biases
Hugging Face
Flask
FastAPI
Next.js
React
TailwindCSS
Prisma
PostgreSQL
Docker
GCP/Azure