Location: Seattle, USA

Remote: Yes; open to onsite, hybrid as well

Willing to relocate: Yes

Technologies: Python, PyTorch, Transformers, LLMs (BERT, GPT-3, T5), ChatGPT, Retrieval Augmented Generation, Hugging Face, LangChain, Weights & Biases, Tensorflow, Scikit-Learn, NumPy, Pandas, Keras, Matplotlib, Seaborn, AWS, SQL, Postgres, Git, Docker

LinkedIn: https://www.linkedin.com/in/shatabdibhise/

Résumé/CV: https://drive.google.com/drive/folders/1Alx_u1VErfjtGaQKgWNB…

Email: shatabdibhise@gmail.com

I am a recent graduate with a Master’s in Computer Science from University of Massachusetts Amherst, specializing in NLP and ML. I’ve had the privilege to work as a Graduate Student Researcher at Amazon Alexa and as an NLP Intern at Samsung Research America. My academic engagement extended to the University’s BioNLP Lab, where I contributed to research in the NLP field. In the industry, I honed my software engineering skills during my tenure as a Software Engineer.

My work experience has been marked by extensive work with Large Language Models (LLMs) such as BERT, T5, and GPT-3. I’ve applied these models to various text summarization, generation, and classification tasks, gaining proficiency in leveraging the power of LLMs for real-world applications. Currently, as an ML Intern at a startup, I lead the development of a feature that harnesses advanced prompt engineering techniques to enhance the capabilities of ChatGPT.

I am actively seeking a full-time role in the NLP/ML/Data Science field, and would love to hear from you!