Most AI projects stall between prototype and production. I bridge that gap. With a research background in computational oncology and hands-on experience shipping ML systems, I help organizations move from experiments to real business value.
Three ways I help companies ship AI that works
ML Pipeline Development
Your data science team built a promising model, but it's stuck in notebooks. I design and build production ML pipelines that take your models from experiment to deployment -- reproducible, scalable systems your team can maintain.
For companies with data and models but no production ML infrastructure
AI Model Training & Optimization
Your model works but accuracy isn't where it needs to be, or training takes too long. I optimize architectures, tune hyperparameters, and redesign data pipelines to get measurably better results from your existing data.
For teams with working models that need to perform better
Cloud AI Infrastructure
Your AI workloads are growing but your infrastructure isn't keeping up. I architect cloud-native ML platforms with distributed training, automated MLOps, and auto-scaling that grows with your needs.
For organizations scaling AI beyond a single machine
AI Strategy & Roadmap
You know AI could add value but aren't sure where to begin or what's realistic. I assess your data, team, and goals to build an honest roadmap: what to build first, what to skip, and what return to expect.
For companies exploring AI for the first time
Published Research
Peer-Reviewed Publications
Oregon Health & Science University
at ISTEC
Real results from real systems
Scheduling Time Reduction
Fewer Scheduling Conflicts
Built and shipped at
Products and platforms I've designed, built, and shipped
85% reduction in scheduling time for university admissions. Intelligent recruitment event management platform with smart matching algorithms and automated coordination. Trusted by leading graduate programs.
Turned published research into a usable product. Exploration platform for multimodal cancer data through vector embeddings, with 3D interactive visualization and high-performance similarity search. Built on findings from peer-reviewed publications.
AI-powered platform for academic researchers. Streamlines research project management with AI journal suggestions, milestone creation, and smart calendar integration. Built for students, postdocs, and research labs.
AI audio processing for musicians, no signup required. Platform with intelligent auto-slicing, stem isolation, batch normalization, and format conversion. Free tier up to 25MB with no account needed.
AI-powered dive safety on iOS and Android. Buoyancy calculator app using advanced algorithms for precise calculations, making diving safer and more convenient.
Building the future through innovation and expertise
Leading AI strategy, research, and implementation at ISTEC, driving innovation and transforming business processes through cutting-edge artificial intelligence solutions and intelligent system architectures.
Leading strategic AI consulting firm, transforming businesses through data science excellence and next-generation intelligent solutions. Delivering comprehensive strategies and training for organizational advancement.
Proven success in executing marketing strategies and delivering tailored training for improved client operations and data-driven business evolution.
Lead developer of EmbKit, a modular library for composing VAEs and other generative models to learn embedding spaces under explicit constraints. Ships with out-of-the-box templates and a flexible API to customize architectures, priors, losses, and evaluation. Designed to cut prototyping time and make constraint-driven representation learning practical.
Accelerating client success through personalized AI and machine learning mentorship, delivering cutting-edge technical guidance across diverse industries and skill levels.
Customized, one-on-one guidance to boost technical skills and confidence, helping clients meet specific project needs and accelerate learning goals.
Co-founded innovative AI-powered platform revolutionizing music production through intelligent audio processing and machine learning solutions. Led end-to-end product development and cloud infrastructure management.
Experience in scalable AI application and service delivery, aligning technical solutions with creative industry needs and user-centered design principles.
Pioneering the next generation of AI-driven cancer research through advanced machine learning architectures and computational biology innovations. Creating robust algorithms for data-driven insights in precision oncology.
Expertise in creating machine learning models to uncover novel insights from complex datasets, advancing data-driven solutions in precision medicine, healthcare, and beyond.
Published in Nature Communications, npj Precision Oncology, Genome Biology, and Cancer Research
Applied single-cell spatial proteomics together with machine learning to predict advanced melanoma patient response to anti-PD-1 immune checkpoint blockade therapy. ML models integrating multiple molecular features accurately predicted response in 11 of 12 patients, uncovering key tumor microenvironment features driving response.
Machine Learning algorithms that preserve the underlying signal when aggregating multimodal cancer data, advancing computational approaches for comprehensive cancer analysis.
Innovative approach to impute protein abundance in tissue imaging, advancing the analysis of complex biological systems and enhancing data interpretation in biomedical research.
SyntheVAEiser, a variational autoencoder-based tool, synthesizes gene expression samples to augment datasets for machine learning tasks. Trained and tested on over 8,000 cancer samples, enhancing prediction accuracy for cancer subtypes.
Novel VAE-based strategy for correcting platform effects in cancer drug response data, enhancing cross-model prediction accuracy and advancing translatability of proteogenomic studies.
Developed a novel computational pipeline for identifying gene signatures in cancer subtypes, demonstrating the power of data-driven approaches in oncology research.
Whether you have a clear project in mind or just want to explore what's possible, I'm happy to talk it through.
The fastest way to get started. We'll discuss your situation, I'll share honest feedback on what's feasible, and you'll walk away with actionable next steps.
I'll get back to you within 24 hours
exitare@exitare.de
Karlsruhe, Germany
Within 24 hours