Advanced course on natural language processing, covering reinforcement learning from human feedback, instruction tuning, retrieval augmented generation, etc.

Contributed to the development of a curriculum on Reinforcement Learning From Human Feedback, Generative AI.

Developed a microservice solution for Clinical Research Organizations that processes medical records. Achieved a remarkable 96% f-score in patient cohort creation through the development of a transformer-based application, which significantly alleviated challenges faced by Clinical Research Organizations.Developed a data pipeline, productionalized in MlOps in Azure, securing a 98% f-score in thematic classification and enhancing HR department efficiency in sentiment analysis.Developed a solution in AWS to streamline metadata standards, culminating in a high precision rate of 95% and significantly boosting compliance levels for a major pharmaceutical company.

Developed a resource efficient GPU-microservice that considerably reduces end-to-end latencies of user queries, and productionalized a solution that determines the vehicle registration state and plate number reader, achieving a 99.9% precision rate, thereby substantially reducing fraud and misclassification claims for insurance companies.Productionalized a solution in AWS to enhance quote standardization with a word-to-vector approach, securing a 92% f-score and streamlining processes for vehicle insurance companies.Productionalized a vehicle insurance solution to successfully identify numerous fraudulent cases and foster integrity within industry operations.