Summary
Dimitris Alikaniotis is an applied scientist in New York with 11 years of experience at the intersection of computational linguistics, cognitive psychology, and machine learning, currently building language intelligence at Grammarly. He combines deep academic training (PhD in Computational Linguistics/Cognitive Psychology and an MPhil from Cambridge) with product-driven ML engineering, shipping solutions using TensorFlow, PyTorch and AWS. His work spans NLP, affective computing and information theory, informed by hands-on experimental design from earlier research on implicit learning and psycholinguistics. Colleagues describe him as equally comfortable prototyping novel models and turning them into production-ready systems in Python, C++ and Java. A not-obvious strength is his background running behavioral experiments and teaching quantitative methods, which sharpens his ability to translate human-language phenomena into measurable, deployable models.
11 years of coding experience
5 years of employment as a software developer
Master of Philosophy (MPhil), Applied Linguistics, Master of Philosophy (MPhil), Applied Linguistics at University of Cambridge
Bachelor of Arts (B.A., Hons), Linguistics, Bachelor of Arts (B.A., Hons), Linguistics at National and Kapodistrian University of Athens
English, Greek, Italian, German, French, Swedish