About

Dillon Laird is an accomplished Engineering Manager with extensive experience in machine learning, artificial intelligence, and data science. He is currently working as an Engineering Manager at LANDING AI, where he leads the team responsible for building the machine learning module and ML workflow for their LandingLens product. Dillon's expertise lies in developing ML models and techniques to optimize those models, improving data quality and pinpointing issues, and working with customers to build ML solutions for their specific needs. He has a proven track record of successfully training and deploying machine learning models to production, making him a valuable asset to any organization. Before joining LANDING AI, Dillon worked as a Data Scientist at PitchBook Data and Society Consulting, where he gained experience in data analysis, machine learning, and research. He holds a Master's Degree in Computer Science from Stanford University and a Bachelor of Science in Mathematics and Computer Science from the University of Washington. Dillon's technical skills include ML, Senior Software Engineering, AI, Data Science, and Research Science. He is a highly motivated individual with a passion for solving complex problems and a keen eye for detail. He is always up-to-date with the latest trends and technologies in his field, making him a valuable asset to any organization. Overall, Dillon Laird is an accomplished Engineering Manager with a strong background in machine learning and data science. He is a results-driven individual who is committed to delivering high-quality work and exceeding expectations. His technical skills, coupled with his ability to lead and manage teams, make him an excellent addition to any organization looking to leverage the power of machine learning and artificial intelligence.