Speaker: Abhinav Sinha
CEO @Lucidic AI, Previously @Stanford AI Lab, @Citadel and Susquehanna International Group, and @Apple
Abhinav (BS, MS Stanford CS, AI specialization) is the CEO of Lucidic AI and has worked in reinforcement learning since the GPT-2 era. Before founding Lucidic, he conducted research at the Stanford AI Lab, explored deep learning–based trading strategies as a quant at Citadel and Susquehanna International Group, and worked on distributed systems engineering at Apple on the Find-My team.
Session
Skills, Memory, or Fine-Tuning? The Engineering Loop Behind Self-Improving Agents
As agents become mainstream, everyone wants to improve theirs either by making fewer mistakes on existing tasks or by taking on harder ones. This usually happens once an agent is already deployed in production.
