Marko Stapfner
Software engineer, founder, and AI/tech writer (TUM alumnus)
markostapfner
London, United Kingdom
4.2K connections
Joined November 2025
Summary
Startup CTO / founder with hands-on systems and scalability experience: Marko co‑founded and served as CTO of HIGGS Live, where he built mobile apps, live-streaming infrastructure, chat, and backend systems capable of supporting large concurrent audiences — practical experience he later wrote about (load-testing with Gatling). medium
Engineer with an academic grounding in applied ML/monitoring: his master's thesis at TUM compares anomaly-detection frameworks for automotive time-series monitoring, indicating experience bridging research-style evaluation and production monitoring requirements. tum
Public communicator and builder in AI/product spaces: Marko maintains a Substack and Medium presence where he explains engineering and product topics (especially around AI, LLMs, and system design), and he frequently participates in hackathons and community events — showing a mix of hands-on building and public-facing thought leadership. substack+1
Active in European startup ecosystems and developer communities: interviews and public posts indicate engagement with European startup networks (he has spoken about relocating to London and participating in founder/tech communities), and recent hackathon activity shows continued product-focused experimentation. youtube+1
Work
Education
Projects
Writing
Comparison of Anomaly Detection Frameworks for Time‑Series data from Car Monitoring
January 1, 2022Master's thesis evaluating multiple anomaly detection frameworks for automotive time-series monitoring; compares frameworks and provides analysis relevant to vehicle data pipelines and monitoring.
Load Testing using Gatling.io 3.0 for Beginners
January 1, 2019Practical tutorial about using Gatling for load and performance testing; includes a concrete use case (HIGGS Live) where the infrastructure was tested for very high concurrent viewer scenarios.
Marko's Substack (collection of essays on AI & product)
Regular posts about AI, LLMs, productization of AI and technology leadership aimed at engineering / product audiences.