Education

Ph.D in Computer Science, Boston University, 2017
- Focus: Machine Learning and Deep Learning
B.S. in Computer Science, Shariaty University, 2011
- Focus: Data Mining and Clustering

Work experience

2023 - Present: Tech Lead
- Google
- Area of Expertise: Large Language Models, Generative AI
2021 - 2023: Applied Scientist, tech lead
- Amazon Lab126
- Area of Expertise: Natural Language Processing, Large Language Models, Multi-Task Learning, Transfer Learning, Few-Shot Learning, Generative AI
2017 - 2021: Machine Learning Engineer
- Twitter
- Area of Expertise: Personalization/Ranking, Natural Language Processing (NLP), Representation Learning
2016: Adjunct Faculty and Researcher
- Stevens Institute of Technology
- Teaching Data Science and Machine Learning course
- Research on forming efficient teams
2015: Data Scientist (ML)
- 128 Technology
- Research on using machine learning for traffic modeling and traffic congestion avoidance. In addition, research on using unsupervised and supervised anomaly detection analysis using network traffic feature distributions, clustering methods, and neural networks.
2009-2011: Software Engineer
- Parseh
- Designing and development of software infrastructures and database solutions
Spring/Summer 2009: Software Engineer Intern
- Parseh
- Designing and development of software infrastructures and database solutions

Natural Language Processing
Deep Learning
- Transfer Learning, Model Optimization
- Pytorch, Transformers, PyTorch Lightning, Keras
Machine Learning
Ranking and Recommendation
Search (query expansion, query rewriting, ranking, personalization)
Data Mining
Data Science
Python, Scala, C/C++, Java, Matlab, R

Sanaz Bahargam, Richard Skowyra, Azer Bestavros HPEC2013.

Sanaz Bahargam, Dóra Erdos, Azer Bestavros, Evimaria Terzi EDM2015.

Sanaz Bahargam, Theodoros Lappas WCBI 2016.

Sanaz Bahargam, Evangelos Papalexakis ASONAM 2018.

Sanaz Bahargam, Evangelos Papalexakis IC2S2 2018.

Sanaz Bahargam, Theodoros Lappas, Evimaria Terzi EDM2019.

Sanaz Bahargam, Behzad Golshan, Theodoros Lappas, Evimaria Terzi Expert Systems with Applications 2019.

Department of Computer Science - University of Colorado Boulder, Deep Learning in Industry
Debug Summit 2021, my work on using machine learning for Search and Recommendation
NLP Summit 2021, my work on Alexa Conversations
Saint Louis University, computer science department, my work on Machine Learning for Reommendations and Ranking
Global #ArtificialIntelligence Conference, my team’s work on task-based dialog systems, YouTube
Lyft meetup Trend/Event Detection and Recommendation @Twitter
Writing a research paper, Boston University

PC member:

WIT: Workshop On Deriving Insights From User-Generated Text @KDD2021
North American Chapter of the Association for Computational Linguistics NAACL 2019
LXAI ICML 2019
IEEE Transactions on Knowledge and Data Engineering, TKDE 2018
WIML, NIPS 2017

Organizer and Mentor

Mentor for IGLUcontest at NeurIPS Conference
Organizer and Presenter, Girls Who Code, 2018, 2019
Inclusion and Diversity committee member, Twitter, 2019-2021
Graduate Student Representative and ambassador, Boston University, Sep 2011 – May 2017
Organizer: ICML 2021, NAACL 2020, ICLR 2021

External Reviewer:

I’ve moved beyond that phase!