In particular, designed the architecture and led the development of NLP pipelines for clients such as (on request)

Developing and deploying deep learning-based Text Classification and Named Entity Recognition (NER) micro-services for clients such as Siemens and HDI. Co-advising an MSc thesis on Active Learning. Carrying out statistical, distributional and syntactic analysis of textual data for improving the performance of downstream models. Integrated Transfer Learning in Text Classification services. Developed a text-to-text mapping service for textual descriptions, based on a Siamese network. Prototyped Anomaly Detection for Text Classification. Co-advised a MSc thesis about 2D NER.

Developed and deployed deep learning-based NLU and NLG services for a chatbot as well as a Reinforcement Learning based Dialogue Manager. Developed a Sentence Classification pipeline with online learning. Researched Question Answering, NLG, and Abstractive Summarization and studied the feasibility and performance of cutting-edge methods in production. Studied the feasibility of different methods for leveraging incoming client inputs to train the existing models in real time.

Researched and developed statistical models for extraction and alignment of Idiomatic Expressions across nine European languages

Developed machine learning models for making crucial predictions that helped control the traffic by processing traffic camera feeds

Developed programs to read and process temperature and humidity sensor data. Implemented common image transforms