Kevin Kawchak's Linkedin Analytics

CEO Kevin Kawchak is a passionate advocate for the innovation of safe and effective quantum-inspired software for Precision Health Generative AI. He further developed a first generation quantum-inspired brain tumor image supervised classification product with 10 subsequent advancements. Additionally, custom model algorithms were found to be higher performing than algorithms from expert researchers in literature. Kevin’s skills are apparent throughout multiple determinations of cost and performance-based time efficiencies across different models, datasets, and compute methods. Several sets of quantum-inspired parallel algorithm studies were run using PyTorch for 4 areas of improvement vs. traditional approaches, which featured a single ‘qubit’ parallel algorithm classifier with zero loss and 100% accuracy. 35 out of 38 PennyLane and Qiskit quantum-inspired ML demos were improved and iterated a second time, some using GenAI. Several recent FDA AI/ML approvals were evaluated to identify good machine learning practices - which were then compared to favorable quantum-inspired machine learning 2.0, QiML 2.0, literature results. High QiML 2.0 performance seen in academia and industry will likely transition to use in assistive or alternative ways for future FDA approvals. QiML 2.0 software includes tensor networks, partitioned quantum circuits, and developing dequantized algorithms that can be optimized to run effectively on traditional computers to process high dimensional data. A controllability study by Mr. Kawchak yielded advantages for a tensor network, neural network hybrid that won 23 out of 30 metrics while typically maintaining 100x lower loss at similar run times vs. using a neural network alone. Future studies are expected to incorporate tensor networks and other 2.0 software to 1) Compress, and 2) Hybridize generative LLMs for improved performance and explainability of Medical Generative AI models. Prior to starting the company, Kevin synthesized drug delivery devices for cancer applications in a graduate degree; and also volunteered at a non-profit for over 10 years that supports new homeowners. Kevin evolutionized the movement that only QML technologies that are already improving the pace of AI today should be developed; and revolutionized medical quantum-inspired machine learning software with the #1 Public Code and R&D repository. Kevin’s expertise is apparent in leading 129 quantum event seminars with the key research finding that “The Practical Era of Quantum-inspired Machine Learning 2.0 for Healthcare is Beginning”. 04/06/24 Update.