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Will Dunlop is the NLP Research Lead at Resultid. Will has been with the company for 1 year and 11 months. Prior to that, they were an NLP/ML Intern with Reciprocity Community. Will has also worked as a tutor and residential assistant.

Will's experience with NLP began when they were an intern with Reciprocity Community. There, they researched and implemented topic extraction techniques for deep-learning powered tag recommendation, working with low data. Will also researched and outlined a DL-powered NLP approach to matching user asks and offers. Will deployed their implementation into a JS webapp powered by MongoDB.

At Resultid, Will is part of the team that is connecting BERT and other transformer models to create robust language understanding in their product. Will is also driving the company's expansion into deep NLP tools and neural techniques. In addition, they are responsible for the transformation of core features of the product, designing and iterating on models and systems to match user needs.

Will Dunlop has a Bachelor's degree from Stanford University in Linguistics and they are currently attending Amador High School. Will was a member of the Stanford Band and the Pilipino-American Student Union while they were at Stanford.