Summary
Liam Abrams is a software engineer with eight years’ experience building Python-driven tools and applications across data science, NLP, image processing, and UX. He has a strong background in experimental and production work—automating camera and instrument validation at FLIR to halve test cycle times, and prototyping ML-powered applications during a UC San Diego ML fellowship. Liam pairs a quantitative foundation in physics and mathematics with hands-on calibration and controls experience, which helps him bridge algorithm design and practical instrumentation constraints. He enjoys math and machine learning and is comfortable moving projects from exploratory notebooks to deployed application code with attention to explainability and ethical considerations. Based in Lafayette, CA, he seeks roles where he can apply his diverse technical toolkit to impactful, real-world problems.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Physics, Mathematics, Bachelor of Science - BS, Physics, Mathematics at University of California, Santa Barbara
English, Spanish