Jonathan Schlosser

About Me

I'm an AI Engineer, Founder & Builder, Educator, and Speaker working at the intersection of generative AI, large language models, and applied machine learning. I design and deploy end-to-end AI systems — including LLM-as-judge evaluation tooling, multi-agent orchestrations, fine-tuned LLM applications, and production-ready GenAI products. My experience spans roles at AlignAI, Playful Software, and Nielsen.

Alongside my industry work, I teach graduate-level machine learning and deep learning at UNC, where I guide students through neural network fundamentals, modern transformer architectures, and hands-on implementation with TensorFlow, PyTorch, HuggingFace, and LLMs. I've also served as an instructor and mentor with programs hosted by Correlation One, the National Consortium for Data Science, KaggleX, Google, and Microsoft. I have taught and supported hundreds of learners and professionals in the data science, data engineering, and machine learning fields and have thoroughly enjoyed my experiences in this realm.

My background is intentionally broad and spans machine learning, deep learning, data engineering, MLOps, LLMs, and applied AI development. I have worked in a number of realms throughout the years and have developed both a builder’s mindset and a cross-disciplinary lens to enhance my work. I’ve led the creation of interactive GenAI assistants, generative documentation systems, and agentic workflows powered by models like ChatGPT and Claude. Whether it’s designing from scratch or optimizing an existing system, I thrive in spaces where technical depth meets product impact.

Outside of work, I’m a strong believer in lifelong learning. I love coffee, music, and cult films— and I usually stay busy by tinkering with a new framework or idea. My approach to data and AI is holistic; I think in terms of systems, where models, people, infrastructure, and outcomes are all part of a dynamic whole.

Please take a look at my LinkedIn and Github, along with the rest of this site, to learn more about my background and past experiences!

LinkedInGitHub