Shreshta Bhat — AI Researcher
My current work focuses on safety and fairness in generative AI. As a grad student at UC Berkeley, I studied equitable algorithms and natural language processing with an emphasis on social contexts, while also teaching courses on data ethics and statistics. Over the course of my career in tech ethics, I've dabbled in everything from research and data science to policy and strategy - picking up skills along the way from my time in non-profits, the tech industry, and academia. I am currently exploring opportunities to contribute to research in language technologies, trust and safety and responsible AI!
Stackforce AI infers this person is a specialist in AI ethics and responsible AI development.
Location: Berkeley, California, United States
Experience: 3 yrs 11 mos
Skills
- Responsible Ai
- Safety Evaluation
- Human-ai Interaction
- Model Ux
- Quantitative Research
- Equity Metrics
- Fairness In Ai
- Natural Language Processing
- Human-in-the-loop Systems
- Machine Learning
- Fairness Objectives
- Language Technologies
- Extractive Summarization
Career Highlights
- Expert in responsible AI and safety evaluations.
- Strong background in quantitative research and data ethics.
- Experience in developing human-AI interaction models.
Work Experience
Senior Strategist, Responsible AI (1 yr 1 mo)
Meta
Research Associate (1 yr 7 mos)
Othering & Belonging Institute at UC Berkeley
Data Scientist (11 mos)
SonyAI
Research Scientist (3 mos)
Dell Technologies
Data Scientist (1 yr 11 mos)
EPFL (École polytechnique fédérale de Lausanne)
Research Assistant (2 mos)
International Institute of Information Technology
Research Assistant (3 mos)
Education
Master's degree at University of California, Berkeley
Bachelor's degree at Manipal Institute of Technology
