Summary
Ian Randman is a Machine Learning Engineer in the San Francisco Bay Area with seven years of experience building production ML systems that cut latency, improve accuracy, and reduce hallucination in LLM and multimodal pipelines. He holds a Software Engineering BS (Summa Cum Laude) and an MS in Computer Science (AI), and has shipped improvements such as a 10x throughput boost for an LLM service, a 90% reduction in hallucination via redesigned RAG, and CLIP-based semantic search that moved KPIs by 25–40%. Comfortable bridging theory, software engineering, and hardware-aware perception work, Ian has delivered end-to-end solutions from LiDAR-based 3D detection to BERTopic image clustering and few-shot multimodal search. Outside engineering he’s an avid endurance cyclist and Eagle Scout who once rode from Key West to Prudhoe Bay, a detail that speaks to his persistence and appetite for long, complex projects.
7 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science (AI Cluster), 3.86, Master's degree, Computer Science (AI Cluster), 3.86 at Rochester Institute of Technology