Yasi Haghpanah

Staff Applied Scientist, ML Engineer @ Qualtrics

About

Staff applied scientist in artificial intelligence and machine learning. Experienced ML scientist using Python, PyTorch, and models such as Transformers (BERT), LLMs (GPT, Claude), and others.

Country

City

United States

Industry

Computer Software

Skill

Machine Learning, Artificial Intelligence, Information Retrieval, Natural Language Processing, Data Mining, Data Analysis, Exploratory Search, Clustering Algorithms, Topic Modeling, Statistical Data Analysis, Social Networks, Behavioral Modeling, Trust and Reputation systems, Recommender Systems, Software Engineering, Python, Java, C++, Matlab, Matplotlib

Experience

Staff Applied Scientist, ML Engineer

Qualtrics

2021-11 - Present · 4 yrs 11 mos

Dedicated to advance ML innovations to support Qualtrics’ XM vision. My contributions encompass various projects, such as creating a theme understanding feature for omnichannel data leveraging advanced models like LLM (GPT, Claude, BERT.). I’ve successfully harnessed unlabeled data to enhance the performance of a compressed multilingual XLM-Roberta classifier, particularly focusing on low resource languages.

Principal Data Scientist

Clarabridge

2021-7 - 2021-11 · 5 mos

Senior Data Scientist

Clarabridge

2019-9 - 2021-7 · 1 yr 11 mos

Building the next-generation machine learning algorithms to enable customer experience vision of Clarabridge. Designed and implemented a robust reason/intention detection feature for conversational data by harnessing the power of distilled transformer models. Led a successful empathy detection feature, encompassing its entire research-to-deployment lifecycle.

Senior Data Scientist

Freddie Mac

2017-10 - 2019-8 · 1 yr 11 mos

Applied research in artificial intelligence and machine learning in the Modeling department. Example work includes leading a POC initiative that utilized textual descriptions from Multiple Listing Service (MLS) data to predict property conditions, leveraging CNN.

Computer Scientist

National Institute of Standards and Technology (NIST)

2013-7 - 2017-5 · 3 yrs 11 mos

Developed tools to use unsupervised learning for efficiently categorizing social media data and facilitating query creation processes. Led several NLP tasks in multiple DARPA programs.