Tom Effland is a Co-Founder and CTO with 11 years of experience building ML-driven products and research systems, currently leading Noetica AI to turn large document collections into actionable knowledge for fintech stakeholders. He holds a PhD from Columbia (thesis on annotation efficiency in biased learning for NLP) and brings practical expertise in making structured NLP models perform better with less and cheaper labeled data. Tom combines deep research—NSF fellowships and publications across ML, IR, and pattern recognition—with hands-on system building from prior roles that ranged from epidemiology-focused social media mining to scalable chatbot and web-crawling prototypes. He’s comfortable spanning the stack: designing loss functions and algorithms in research while shipping production-focused machine reading and KB construction systems. Based in New York, he hires across engineering and research and is focused on reducing manual effort in high-impact, real-world NLP applications.
11 years of coding experience
2 years of employment as a software developer
Frederick Community College
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia Engineering
Bachelor of Science (BS), Applied Mathematics, Bachelor of Science (BS), Applied Mathematics at State University of New York at Buffalo
Contributions:29 commits, 26 pushes, 1 branch in 2 months
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