Jaime Mosquera

Jaime is a Machine Learning Engineer with 7+ years of experience building and deploying ML & AI solutions across insurance, utilities, healthcare, and legal tech. He specializes in generative AI systems, combining deep technical expertise with a practical approach to solving complex business problems.

Before his current role, Jaime contributed to GenAI engineering initiatives for a prominent AI VC fund, developing production-ready systems using LangChain, LangGraph, and frameworks from OpenAI, Anthropic, and Hugging Face. His recent work includes building RAG systems for cross-border tax retrieval and creating AI agents that guide healthcare decisions using patients' insurance documents.

In the past, Jaime served as a Data Scientist, where he built predictive models for the third-largest US life insurance company and implemented scalable text mining solutions processing over 100 million rows of data. As consultant, he developed energy forecasting models that reduced billing verification time from one week to two days and deployed NLP solutions that cut unanswered customer complaints by 30%.

Jaime is skilled in Python, R, and SQL, with extensive experience in AWS and basic knowledge of the Azure cloud platform. He's passionate about making AI accessible and has taught data science courses at universities in Colombia and developed open-source R packages with over 10,000 downloads.

Jaime holds an MSc in Statistics and a degree in Chemical Engineering, both from Universidad Nacional de Colombia. In his free time, he enjoys exploring new coffee shops, and learning Portuguese.

Jaime currently lives in Medellín, Colombia, but visits frequently Braga, Portugal.