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Schedule Interview NowMy name is Tilmann B. and I have over 12 years of experience in the tech industry. I specialize in the following technologies: Generative AI, AI Platform, Software Architecture, Project Delivery, Multimodal Large Language Model, etc.. I hold a degree in Doctorate, Masters. Some of the notable projects I've worked on include: ScoutVision: AI That Sees What Coaches Miss, Unified ML Platform to Accelerate AI Development, Generative AI System for Automated Financial Advice, Enterprise Recommendation Engine for a Global FinTech. I am based in Mountain View, United States. I've successfully completed 4 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
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12 years
7 Years
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Credit Karma | Intuit
Developed a computer vision system for football scouts using YOLOv8 pose estimation to analyze player performance from training videos. The system extracts 17-33 body keypoints to calculate real-time
Led the strategy and technical design for a unified, internal AI/ML platform to streamline development for multiple data science teams. The platform standardized tools for the entire ML lifecycle and
Architected an end-to-end Generative AI system to provide automated financial advice. The solution used a Retrieval-Augmented Generation (RAG) approach, combining a Large Language Model (LLM) with a p
Led a team of 50+ engineers to architect and build a new ML platform for a top FinTech. The system was designed to serve personalized recommendations to 130 million members from petabyte-scale data. T
Doctorate in CS
1992-01-10-1997-01-10
Masters in CS
1988-01-10-1992-01-10