Senior AI NLP Engineer

• Jul 2023 - Present

->Leading a team of 3 members to successfully build a product in mental healthcare. ->Working with domain experts, we gathered pertinent data from web sources, real patients, and produced equivalent sentences using prompt engineering to ensure a diverse and representative annotated dataset. ->Engaging in in-depth research about the latest advancements in named entity recognition, we are designing and developing state-of-the-art models for almost 500 tag spaces from unstructured text. ->Implementing multiple neural network architectures using Flair, Transformers, BERT, CNN, BiLSTM and CRF layers to achieve state of the art results through BIO tagging. ->Developing a Fine tuned LLama 2 with bitsandbytes, 4-bit quantization, QLoRA. Langchain, Huggingface, and SFTTrainer to understand patient situations and express concern. ->Working on creating Python APIs to connect to RASA chatbot, enabling the classification of 40 intents and extraction of 240 entities on real patient conversations. Show less

Associate Instructor

• Aug 2022 - May 2023

Management, Access and Big Data

Teaching Assistant

• Aug 2022 - Dec 2022

Applied Machine Learning

Natural Language Processing Engineer

• May 2022 - Aug 2022

-> Developed an Information extraction system to extract entities from insurance risk engineering documents with PyMuPDF, large language models BERT with PyTorch which can save over $1M a year. -> Used data structures to cut the processing time for documents by 50%. -> Built a python Rest API which can take multiple file inputs and share the result. -> Developed an Information extraction system to extract entities from insurance risk engineering documents with PyMuPDF, large language models BERT with PyTorch which can save over $1M a year. -> Used data structures to cut the processing time for documents by 50%. -> Built a python Rest API which can take multiple file inputs and share the result.

Natural Language Processing Engineer

• Jun 2021 - Aug 2021

-> Strategically gathered, preprocessed text transcripts and extracted information from them using Python, Hugging Face, SpaCy, Regex and large language models BERT/T5/XLNet fine-tuning, PyTorch. -> Performed parallel machine learning training with dataparallel which reduced training time, manual effort and operational cost by $30k a year. -> Strategically gathered, preprocessed text transcripts and extracted information from them using Python, Hugging Face, SpaCy, Regex and large language models BERT/T5/XLNet fine-tuning, PyTorch. -> Performed parallel machine learning training with dataparallel which reduced training time, manual effort and operational cost by $30k a year.

Data Science/Python Developer

• Dec 2019 - Jul 2021

Associate Data Scientist

• Feb 2017 - Nov 2019