Summary
Farhad Khalafi is a founder and technologist with nine years of focused experience building AI-driven data extraction and document analytics products that unlock information trapped in unstructured files. He has repeatedly moved organizations from brittle, template-driven workflows to scalable, analytic and machine-learning powered pipelines—most recently leading Opait Software’s work on automated table, field and NLP extraction for financial documents. His background spans founding multiple startups and senior R&D roles where he designed multi-tier, high-throughput systems in C++, C# and cloud/SaaS environments for enterprise-scale archiving and processing. A PhD in Quantum Physics from Cambridge underpins a rigorous, research-first approach to applied engineering and algorithm design. Notably, his work has been deployed across invoice-to-cash automation, large-scale document archiving and early codec implementations, reflecting both deep systems engineering and practical productization. Based in Englewood, Colorado, he combines entrepreneurial leadership with hands-on development to deliver production-grade solutions for finance and RPA use cases.
9 years of coding experience
23 years of employment as a software developer
Ph.D., Quantum Physics, Ph.D., Quantum Physics at University of Cambridge, UK
BSc, Nuclear Engineering with Physics, BSc, Nuclear Engineering with Physics at University of London, UK