About me
Hi! I’m Jonathan Muehlstein, a Data Scientist specializing in machine learning and its application to real-world business challenges.
I have nearly a decade of experience in AI and software, spanning both academia and industry. During this time, I have developed and deployed machine learning models across diverse sectors, including automotive, telecommunications, and Internet of Things (IoT). I contributed to the development of a core product at Tactile Mobility—a virtual sensor for vehicles—with the potential to increase driving range for electric vehicles and enable road sensing for autonomous vehicles. At IBM Research, I co-invented a patented ultrasonic ranging protocol. My toolbox includes Python, PyTorch, Pandas, Scikit-learn, Git & GitHub and AWS.
I'm an expert in predictive modeling, tabular data machine learning, and applying research to solve practical problems. My work has been recognized through technical contributions to the IBM COVID-19 Taskforce, and presentations at the IEEE SecIHD academic workshop, as well as in strategic industry collaborative R&D meetings.
I believe in leveraging the power of data and AI to drive innovation and create meaningful impact. I'm committed to delivering high-quality and practical solutions, always striving for authenticity, precision, and efficiency in my work.
In my downtime, I enjoy exercising, developing personal coding projects, creating songs with suno.ai, and exploring new technologies. If you're interested in discussing how AI and machine learning can address your business challenges, or if you'd like to collaborate on innovative projects, please send me a message and connect with me.