Kenneth Dwyer

I build AI that lasts. While the world is currently discovering the power of Large Language Models, I’ve spent the last 20 years in the trenches of Machine Learning—shipping production-grade systems long before "GenAI" was a household term. My perspective is rooted in a decade of specialized NLP work and 8 years of graduate-level research, allowing me to bridge the gap between classical statistical rigor and modern generative innovation. My track record is defined by two things: Grit and Scale. THE GROUND FLOOR: I’ve been an early hire (within the first 20 employees) at three different startups, helping build core IP from scratch and contributing to two successful exits. I thrive in the "zero-to-one" phase where technical decisions have the highest stakes. THE ENTERPRISE: I’ve successfully navigated the complexity of a Fortune 10 environment, proving that I can scale sophisticated ML pipelines for massive, high-impact user bases. I don’t just "call an API." I specialize in the full lifecycle of intelligent systems—from fine-tuning LLMs and structured prediction to implementing contextual bandits, active learning, and weak supervision. I am a firm believer in building production-grade pipelines, not just notebooks. Whether it’s a seed-stage startup looking for its foundational ML hire or an enterprise-level organization looking to operationalize GenAI, I bring two decades of "what works" to the table.