Data Scientist

Summary

I am an experienced data scientist (with PhD in ML) with industry experience at Meta and Microsoft. I also developed cutting-edge ML algorithms during my PhD that have been published in top conferences.

At Meta, I designed and implemented a machine learning service for privacy risk evaluation, significantly reducing regulatory management costs for AI models and systems. I developed the entire end-to-end system including data pipelines, training, inference, and deployment, and took ownership of the code quality ensuring every commit was well-tested.

I also helped Meta deliver a major privacy commitment by designing a strategy to show privacy compliance for all AI Infrastructure with minimal required manual efforts. By designing a statistical methodology to quantify privacy risk for all AI systems, I saved the company from thousands of hours of manual auditing work while maintaining a high bar of privacy.

Expectations

Looking for a fast-paced environment with no shortage of new challenges and learning opportunities. The ideal organization would provide a collaborative work environment with ample mentorship opportunities.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• Python
• R
• SQL
• Apache Airflow
• Statistics
• Machine Learning