Posts
Notes on AI/ML systems, agents, behavior modeling, evaluation, and product.
Latest Writing
Jan 9, 2026
Reinforcement Learning for Orbital Transfers at the 2026 AI Winter School (Brown University)
Hands-on workshop using reinforcement learning (PPO) to solve orbital transfer problems. Environment design, reward shaping, and training RL agents for space mechanics.
Aug 7, 2025
From Demos to Deployment: Insights from Berkeley’s Agentic AI Summit 2025
Agentic AI is graduating from cool demos to real‑world deployment. Hardware gains, open standards, rigorous evals, and secure governance are paving the way for billions of reliable, low‑cost digital assistants.
Feb 10, 2025
Exploring LLMs and RAG at the 2025 AI Winter School (Brown University)
Hands-on workshop on Large Language Models and Retrieval-Augmented Generation (RAG) for physics researchers. Using OpenAI API and LLaMA for domain-specific applications.
Sep 23, 2024
Announcing ONNX Support in Isolation Forest
LinkedIn's open-source isolation forest library now supports ONNX export, enabling deployment beyond Spark for streaming and edge inference applications.
Aug 15, 2024
Finding AI-Generated Faces in the Wild
A top-performing approach for detecting both GAN- and diffusion-generated faces in the wild.
Jun 20, 2023
Detecting AI-Generated Profile Photos
CVPR Workshop research with LinkedIn and UC Berkeley on detecting GAN-generated profile photos from compact embeddings.
Sep 2, 2021
Using deep learning to detect abusive sequences of member activity
Production deep learning approach for detecting abusive sequences of member activity at LinkedIn using request-level behavior streams.
Aug 13, 2019
Open Source: Spark/Scala Isolation Forest Library
Announcement and resources for LinkedIn's open-source Scala/Spark isolation-forest library for large-scale unsupervised anomaly detection.