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Maximilian Kretzschmar

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about

Applied AI researcher and PhD candidate architecting AI systems that automate engineering workflows. Manage multiple projects across institutions including system design through to user adoption. Passionate about cutting edge technology and a continuous learner across domains. Seeking to direct technical depth and systems thinking toward maximising impact.

skills (select a skill to filter)

AI & Machine Learning
Software & Data Engineering
Engineering & Leadership

experience

MAN Truck & Bus SE

PhD Candidate — Applied AI

2023–2026

MAN Truck & Bus SE

  • Independently designed and built AMPLIFY, a human-in-the-loop multi-agent system with 7 specialised agents and 40+ tools that automates finite-element simulation tasks for ~50 engineers across Germany and India; MAN IT Innovation Award finalist, projected to save ~10% of engineering hours across key simulation workflows
  • Built a React/TypeScript interface for real-time agent monitoring with execution graphs, 3D visualisation, human feedback and test & evaluation tooling; validated the system with 7 domain experts using a 23-item assessment framework co-developed with the University of Bayreuth
  • Integrated simulation data from production vehicle models via Ansys DPF and gRPC across 3 analysis domains, developing the tool integration layer of the modular multi-agent framework
  • Deployed the system on AWS (EC2, Bedrock, S3, Cognito) with a ~€15,000 infrastructure budget, enabling scalable execution of workflows and reducing manual intervention in engineering analysis pipelines
  • Defined the use case and roadmap for AMPLIFY and led the three-year, €320,000 industry research project as sole researcher, managing stakeholders and aligning academic goals with MAN's AI development strategy, including project scoping, legal coordination, budget management and delegation of research activities
  • Led the cross-disciplinary development curriculum for 30+ PhD candidates, including organising multi-day workshops
  • Managed end-to-end recruitment, screened 70+ candidates for student research positions, supervised several master's students across 6-month placements
Dresden University of Technology

Research Scientist — Applied AI

2023–2026

Dresden University of Technology

  • Researched hybrid AI systems that combine LLMs with structured and unstructured knowledge representations to automate product development processes
  • Designed and evaluated multi-agent architectures with RAG pipelines and knowledge graph construction for engineering data retrieval
  • Established and managed research partnerships with academic and industry partners, including project scoping, legal coordination, finances and delegation of research activities
  • Authored and presented 9 peer-reviewed papers at international journals & conferences (Cambridge University Press, IEEE, Elsevier)
  • Coordinated an 8-person teaching team delivering coursework to ~250 students per semester
  • Taught tutorials for groups of 30 students and supervised several bachelor's and master's theses
Robert Bosch GmbH

Intern — Optimisation of High-Volume Production Lines

2022

Robert Bosch GmbH

  • Implemented the Bosch Center for AI's anomaly detection engine across 9 fully automated laser-drilling lines (~26,000 parts per day, €9.5M annual production value); identified a systematic quality anomaly causing redundant testing, enabling rapid correction of throughput losses
  • Built Python tooling (pandas, NumPy, seaborn) to automate the preparation, analysis and visualisation of machine and CMM quality measurement data across daily production cycles
  • Planned, led and moderated a factory layout workshop with a 15-person cross-functional team, applying lean methods such as one-piece flow to improve processes affecting 25+ manufacturing workers
  • Independently identified a recurring assembly inefficiency and developed a 3D-printed solution, which was documented for replication and adopted as standard across plants in Germany, the US and Turkey
Fraunhofer IWS

Working Student — Product Design & Development

2021–2022

Fraunhofer IWS

  • Designed, developed and integrated hardware components for hyperspectral imaging systems, including the institute's smallest-ever diffuser component, from concept to manufacturing-ready technical documentation; coordinated 3 teams
SPEZ GmbH

SPEZ GmbH

Quality Manager

2019–2020
  • Owned the Quality Management System end-to-end: compliance monitoring, ensuring conformance to customer and internal regulations
  • Developed employee training schemes and introduced quality protocols for large orders
  • Managed customer complaint resolution translating requirements into effective processes

Key Client Manager

2018–2019
  • Managed order fulfilment for key clients, optimising cutting plans, tenders and ensuring smooth processing of large recurring orders in production
  • Delivered employee training on cutting operations and quality consciousness to improve production consistency

Working Student

2018
  • Operated CNC waterjet and laser beam systems, prepared and executed cutting orders, and tender calculation

education

Dresden University of Technology, Germany

PhD — Applied AI

2023–present

Dresden University of Technology, Germany

Thesis submitted · defence scheduled for Feb 2027

Dresden University of Technology, Germany

Diploma Mechanical Engineering (M.Sc. equivalent)

2017–2023

Dresden University of Technology, Germany

1,5 · First Class Honours

European School Culham, United Kingdom

European Baccalaureate

2003–2016

European School Culham, United Kingdom

87.21% · 1,3 · AAA

certifications

Centre for Effective Altruism

EA Career Pivot Bootcamp — High-Impact Careers

2026

Career Strategy · Impact Assessment · Cause Prioritisation · Theory of Change

Centre for Effective Altruism

TU Dresden Graduate Academy

Leadership

2026

Leadership Styles · Leadership Values · Communication · Team Development

TU Dresden Graduate Academy

TU Dresden Graduate Academy

Project Management

2026

Stakeholder & Environment analysis · Phase Plan & Milestones · Agile Project Management

TU Dresden Graduate Academy

TU Dresden Graduate Academy

Business Administration Fundamentals for Researchers

2026

Value Chain · Procurement & Operations · Sales & Marketing · Accounting · Controlling

TU Dresden Graduate Academy

Capgemini

Stakeholder Management

2025

Stakeholder Analysis · Communication Strategy · Conflict Resolution

Capgemini

The Design Society

SSEDR25 - Summer School on Engineering Design Research

2025

Research Methodology · Literature Review · Data Collection & Analysis · Evaluation Methods

The Design Society

DeepLearning.AI · Amazon Web Services

Generative AI with Large Language Models

2024

AI Lifecycle · Transformers · Fine-Tuning · Scaling Laws · Model Evaluation · Deployment

DeepLearning.AI · Amazon Web Services

Harvard University

CS50x: Introduction to the intellectual enterprises of computer science and the art of programming

2022

Algorithms · Data Structures · Software Engineering · C · Python · SQL · JavaScript

Harvard University

University of Michigan

Python for Everybody Specialization

2022

Data Structures · Web Data · Databases · Data Visualisation

University of Michigan

projects

Personal website & private LLM console
planetmax.dev2026–present

Personal website & private LLM console

  • Built a full-stack portfolio application using Next.js 14, Supabase, and the Vercel AI SDK with production deployment on Vercel
  • Developed an authenticated LLM console bringing multiple LLM providers into one interface for model evaluation and comparison, with real-time streaming and session-based interaction
3-axis CNC plasma cutter

3-axis CNC plasma cutter

  • Designed and built a three-axis CNC plasma cutter from scratch for under £1,000 to launch a small metalworking business, covering mechanical design, electronics, software, sourcing and testing; published open-source build documentation
Object detection with CNNs trained on synthetic data

Object detection with CNNs trained on synthetic data

  • Built a Blender pipeline that generates automatically labelled training images to investigate domain gap effects on CNN object detection of real machine components; a YOLOv7 model trained on just 500 synthetic images achieved 71.21% mAP@0.5 on real-world detection across 8 component classes, with no manually labelled training data

volunteering

The School for Moral Ambition

Circle Pioneer

2026–present

The School for Moral Ambition

  • Founded international Moral Ambition Circle recruiting 6 professionals across 5 countries spanning AI research, digital policy, and management to explore pathways to greater positive impact
  • Facilitating the 8-month peer-led programme where members develop personal Theories of Change connecting their skills to measurable impact on pressing global challenges
Kait-Bu-Rin Muay Thai

Sports Coach

2015–2016

Kait-Bu-Rin Muay Thai

  • Volunteer martial arts instructor for groups of children and teens
Kuzuko Foundation South Africa

Volunteer

2013

Kuzuko Foundation South Africa

  • Converted a disused barn into an environmental education centre and organised fundraising events to support the initiative

publications

Designing and Validating Affordant Interfaces for Hybrid Intelligence Systems

Human-AI Interaction · Affordance Theory · Transparency Evaluation Concept

International Symposium on Hybrid Intelligence in Product and Production Engineering

Multi-Agent System Approach for Constructing Three-Layer Knowledge Graph Architectures for Efficiently Leveraging Engineering Data

Knowledge Graphs · Agentic Schema Creation · Neo4j

Advances in Artificial Intelligence & Machine Learning (AAIML 2026) · IEEE

Design Patterns for Multi-Agent LLM Systems in Engineering: An Industry Case Study

Compound LLM Systems · Industry Case Study · Systems Design Patterns

Procedia CIRP · Elsevier

A Team of Three: The Role of Generative AI in the Development of Design Automation Systems for Complex Products

Industry Survey · Literature Review · Responsibility Model

Proceedings of the Design Society · Cambridge University Press

Using Role-Specialized LLM Agents for Workflow Execution in a Product Development Setting

MAS Development Framework · Workflow Automation · Product Development

ICISC · IEEE

Evaluating the Role of Generative AI in Product Development and Design — A Systematic Review

Systematic Literature Review · Cross-Domain Analysis

NordDesign · The Design Society

Key Concepts, Potentials and Obstacles for the Implementation of Large Language Models in Product Development

Capability-Challenge Matrix

Entwerfen Entwickeln Erleben (EEE) · TU Dresden

Towards a Process for the Creation of Synthetic Training Data for AI-Computer Vision Models Utilising Engineering Data

Synthetic Data Generation · CAD-to-training Pipeline · Domain Randomization

Proceedings of the Design Society · Cambridge University Press