Robin Stöhr

Machine Learning Engineer | AI Researcher

Hello there! I'm Robin, an experienced Machine Learning Engineer holding a Master's in Artificial Intelligence from Vrije Universiteit Amsterdam. My journey in the tech world has taken me through renowned organizations like Uber, SuperX, and Toast. I thrive at the intersection of software engineering and artificial intelligence, and I'm passionate about pushing the boundaries of what AI can achieve.

💼 Professional Experience

• Superchat, Berlin, Germany: As one of the foundational engineers, I played a pivotal role in setting up the backend infrastructure. My time here involved architectural design, performance optimization, and critical refactoring operations. Tech stack: Kotlin, Quarkus, PostgreSQL, Twilio, Facebook API, Postmark.

• Uber, Amsterdam, Netherlands: Contributed to the Uber AdTech team, spearheading the integration of Apple Search Ads. Additionally, I introduced various Bash scripts to automate developer workflows, boosting overall productivity. Tech stack: Java EE, Spring Boot, PostgreSQL, Protocol Buffers, Apple Search Ads API.

• Toast, Dublin, Ireland: Focused on augmenting customer support channels and worked on both frontend and backend aspects of the Toast website. Additionally, I worked on the Toast POS Android application. Tech stack: Java EE, Spring Boot, PostgreSQL, Android, Hibernate, Apache Thrift, Twilio.

🎓 Education

• Master of Science in Artificial Intelligence: Vrije Universiteit Amsterdam, GPA: 3.7. Achieved an outstanding thesis score of 4.0 (GPA) which delved deep into Reconnaissance Blind Chess.

• Bachelor of Science in Computer Software Engineering: CODE University of Applied Sciences.

📚 Research & Publications

• Reconnaissance Blind Chess: Explored computational models of opponent knowledge in imperfect information games, developing novel algorithms and heuristics for strategic reasoning under uncertainty. Achieved a commendable 4th rank among 100 entries in a competition held by Johns Hopkins University.

• Extended Job Shop Scheduling Problem with AGVs: Co-authored a paper in partnership with Telekom Innovation Laboratories and Fraunhofer FOKUS, evaluating classical and quantum approaches. We notably used quantum annealing algorithms to solve real-world factory logistics problems.

🏆 Achievements

• Learning to Rank competition: Secured the first place in a competition held between Vrije Universiteit Amsterdam and Universiteit van Amsterdam.

• CODE Demo Day: Presented my project at the Virtual Demo Day 2020 of the CODE University.

• 42, Silicon Valley Intensive Low-Level Programming Training: Recognized among the top 10% of over 200 students.

🔧 Skills & Tech Stack

Python, Kotlin, Java, Rust, C, C++, Machine Learning, Deep Learning, Tensorflow, PyTorch, Scikit-Learn, PostgreSQL, Django, Flask, Reinforcement Learning, CUDA and more.

🔗 LinkedIn: https://www.linkedin.com/in/robin-stoehr/

📫 Contact: [email protected]