Description

I help turn promising AI ideas and MVPs into reliable, efficient products that actually work in production.

Many projects hit issues after the initial build:

unpredictable model behavior,
rising costs,
poor performance,
missing AI evals,
or systems that feel fragile and hard to scale.

That’s where I come in ☺️

Sometimes we rebuild from scratch (which can be surprisingly fast these days, thank you Claude Opus 4.5!). Sometimes we stabilize and improve what you already have.

Either way, the focus is on robustness, efficiency, and long-term scalability.

When you work with me, you don’t just get an engineer.

I’ve worked closely with C-suite and senior executives on AI strategy (mainly in North America), so I think beyond just code. So product decisions, cost control, risk, and scale are always part of the conversation. And of course the unsexy topic of compliance and data privacy (I know boring, but small mistakes here can cost a lot).

If you want to turn your AI project into a solid product (not just a demo),

feel free to reach out, and we can schedule a free 15-minute consultation to talk through your AI setup and next steps.

Industry field of expertise

Languages

English
Native or bilingual
German
Native or bilingual
Spanish
Basic
French
Conversational

Workplace preferences

Remote only

Primarily works remotely

AI Flow Labs
Head of Artificial Intelligence
January 2023 - Today (3 years and 6 months)
San Francisco, United States
AI Flow Labs is a US-based company specialised in advanced artificial intelligence, architectural design of AI tools and deployment of multi-agent systems and agentic workflows (RAG). We focus on building safe, reliable AI systems using our internal AI evaluation framework to ensure robust, reliable, and optimally structured AI performance and cost, reflecting a commitment to precise, foundational intelligence in every system we build

𝓚𝓮𝔂 𝓐𝓬𝓱𝓲𝓮𝓿𝓮𝓶𝓮𝓷𝓽𝓼:
[x] 𝗔𝗜 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴: Provided expert AI consulting services to Fortune 500 companies across the US, defining and implementing their enterprise-wide AI strategies. Influenced >$3.3M in annual AI investment decisions; Achieved an average of 47% improvement in strategic AI readiness scores for client organizations.
[x] 𝗚𝗹𝗼𝗯𝗮𝗹 𝗦𝗼𝗰𝗶𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁 𝗔𝗜: Designed and deployed agentic Retrieval Augmented Generation (RAG) systems for the social impact sector, delivering innovative solutions across North America, Europe, and Southeast Asia. Improved data retrieval accuracy by 17% for partner NGOs/organizations; reduced manual data processing time by 84% across 11 regions.
[x] 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺: Developed advanced browser AI agents and agentic workflows, enabling small businesses to leverage sophisticated AI for automation and efficiency.
Agentic AI AI agent artificial intelligence RAG AI Evaluation
LeanOnMe Inc.
Founding AI Engineer
DIGITAL AND IT
June 2025 - Today (1 year and 1 month)
München, Germany
LeanOnMe is pioneering the world's first StartupGPT, an AI platform designed to strategically serve both founders and Venture Capital firms (VCs). As the Founding AI Engineer, I am responsible for defining and overseeing our entire AI and technology strategy.

𝓚𝓮𝔂 𝓐𝓬𝓱𝓲𝓮𝓿𝓮𝓶𝓮𝓷𝓽𝓼:
[x] Designed 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 using Google ADK & CrewAI (Python)
[x] Integrated 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗣𝗜 with multi-agent backend for real-time AI interaction using 𝗗𝗼𝗰𝗸𝗲𝗿
[x] Built user trigger system & reporting dashboard (𝗩𝘂𝗲.𝗷𝘀, 𝗡𝗲𝘅𝘁.𝗷𝘀)
[x] Deployed cloud infra with 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 (IaC)
[x] Set up 𝗔𝗜 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (Langfuse, Ragas, DeepEval)
Microsoft Azure Docker Terraform RAG Agentic AI
Siemens Corporation
AI Strategy Manager
DIGITAL AND IT
September 2023 - May 2025 (1 year and 8 months)
Orlando, United States
As a AI Strategy Manager at Siemens Corporation, I led all AI related success initiatives across the Americas region, managed customer relationships and contracts, developed and implemented a global AI strategy, drove technical AI initiatives throughout the organization, and provided monthly KPI reports to the Americas center head and regional management.

𝓚𝓮𝔂 𝓐𝓬𝓱𝓲𝓮𝓿𝓮𝓶𝓮𝓷𝓽𝓼:
[x] Led 𝗔𝗜 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 across Americas; aligned 2 regions and 8 BUs to KPI-driven roadmap
[x] Launched 𝗔𝗜 𝘂𝗽𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴 for 56K employees across NAM & SAM
[x] Built $𝟱.𝟲𝗠 𝗔𝗜 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 through targeted use cases and exec workshops with HQ
[x] Delivered 𝗰𝗼𝘀𝘁 𝘀𝗮𝘃𝗶𝗻𝗴s via AI automation in finance, CX, and supply chain
RAG Agentic AI NLP Snowflake Langchain