NLP and Machine Learning Developer

I develop software for speech and text processing applications, combining a strong foundation in linguistics and computer science with expertise in software development and machine learning techniques and frameworks. My area of specialization is natural language semantics. I studied computational linguistics in the linguistics department at UMass and the computer science department at Brandeis. I have received training in logic, formal semantics, lexical semantics and statistical learning. I've been developing text processing applications for twelve years, frequently on product teams. I've worked with the intelligence community (IARPA, IBM) and have delivered solutions in the public sector, healthcare, cybersecurity, aftermarket auto repair and other industries. I can help you leverage NLP and ML technologies to powerful effect. It has often been my task to capture some aspect of the meaning of an utterance or document—an area sometimes referred to as natural language understanding—such as with a lexical resource or hierarchical taxonomy, a syntactic or semantic parse, a meaning representation or sometimes just a single label. In my current work I explore the potential of expressive grammar formalisms as a practical application of Curry-Howard-Lambek and an alternative to distributional semantics and the vector space model of meaning that is foundational to large language models and pervasive in almost all current NLP research.