Brijesh Vora

ML Engineer at Corelight working on machine learning for network security.

At Corelight I develop, maintain, and monitor ML models for network security, automate model training and inference, and optimize the feature and log ingestion pipelines. My research includes Private Aggregate Queries to Untrusted Databases (arXiv 2024) and Benchmarking Adversarial Robustness of Compressed Deep Learning Models (ICML 2023 workshop).

Before Corelight, I was a Machine Learning Engineer III on the MLOps team at SailPoint Technologies (2023–2025).

I’m currently exploring adversarial robustness, privacy, AI agents, and machine learning for network security.

I’m looking to collaborate on machine learning, security, or systems research. Reach out by email or on LinkedIn.

Education

• M.S. in Computer Science, UC Davis, 2023. Advisor: Dr. Chen-Nee Chuah.
• B.Tech in Computer Science, IIT Tirupati, 2021. Advisor: Dr. Kalidas Yeturu.

Selected work

• Private Aggregate Queries to Untrusted Databases, arXiv 2024
• Benchmarking Adversarial Robustness of Compressed Deep Learning Models, ICML 2023 workshop paper
• Projects: a workflow management system for IIT Tirupati and network security tooling at Ennetix

Updates

• Sep 2026: Reviewed papers for the NeurIPS 2026 Agents in the Wild workshop.
• Jun 2026: Reviewed papers for the ICML 2026 workshops (SD4H, AIWILD, AI4GOOD).
• Feb 2026: Became a member of Sigma Xi, The Scientific Research Honor Society.
• Jun 2025: Started as Machine Learning Engineer at Corelight.
• Jun 2024: Promoted to Machine Learning Engineer III.

Outside work I watch cricket, play chess, go to the gym, hike, and read about new tech and research papers. Ask me about movies and TV shows, tech, cricket, or chess.

Pronouns: he/him