Freelancer profile translated to English.

Description

I am experienced in solving optimization problems through mathematical modeling, implementation in solvers (like OR-Tools) and deployment into production code. I value high-quality code and testing through simulation.

I am an approachable person who is easy to work with. Additionally, I bring an analytical and strategic mindset.

Languages

German
Native or bilingual
English
Conversational

Workplace preferences

Remote only

Primarily works remotely

Selbstständig
AI Engineering
August 2025 - Today (10 months)
Hamburg, Germany
• ● Prototyped agentic AI workflows using LangChain and LangGraph.
• ● Built LLM-powered systems integrating GPT-4, Claude, and open-source models with custom business logic and workflow orchestration.
• ● Conducted independent research and experimentation in latent chain-of-thought models and their theoretical underpinnings, inspired by the latest ICML/NeurIPS work on mechanistic reasoning.
• ● Contributing to open-source benchmarking, code replication, and synthesis of insights between machine reasoning and cognitive neuroscience.
Langchain LangGraph Research Python (Programming Language)
Oaktree Technologies GmbH (Fielmann Group)
Senior Applied Scientist
March 2020 - July 2025 (5 years and 4 months)
Hamburg, Germany
• ● Designed and deployed a MILP-based planning system for capacity allocation and workload scheduling across German and Chinese manufacturing facilities, reducing production costs by 15–20% and lowering lead times.
• ● Partnered directly with the CPO and engineering teams to frame executive-level operational challenges (capacity, orders, cost constraints) into tractable mathematical models, successfully transitioning prototypes from Python to Kotlin production systems.
• ● Implemented a simulation framework to evaluate system behaviour under increased demand, enabling scenario analysis and capacity stress-testing, the same analytical pattern underlying wait-time.
• ● Developed SQL-based analysis of optimization outputs and tradeoffs to support management decision-making, with results visualized in operational dashboards.
• ● Implemented SLAM-based computer vision algorithms (OpenCV, PyTorch) for sensor measurement, demonstrating an ability to contribute across engineering domains adjacent to core OR work.
Mathematical Modelling Operations Research Implementation SLAM Solver
Yieldlove GmbH
Data Scientist & Optimization Engineer
November 2017 - April 2018 (5 months)
Hamburg, Germany
• ● Analyzed large-scale revenue and impression data to inform bid-price optimization across connected ad-auction platforms, representing an early form of real-time marketplace pricing.
• ● Built the technical infrastructure to support automated pricing APIs, revenue data pipelines, and ad configuration systems (Python) connected to external platforms reducing system error susceptibility by 20%.
• ● Systematized legacy implicit optimization logic for pricing, revenue modeling, and ad configurations into transparent, scalable frameworks, empowering management with independent decision-making capabilities.
• ● Translated complex data patterns into clear trade-offs and strategic recommendations for the CEO, helping shape product roadmap priorities and technical scaling decisions.