A researcher who works on building AI agents for software engineering, data science and machine learning tasks with a focus on alignment of LLM and VLM agents.
Referenced in coverage
“Dhruv Srikanth was part of the team that developed AIDE², demonstrating the first experimental evidence of recursive self-improvement in AI agents.”
“Co-author of AIDE² research on recursive self-improvement system that autonomously improved itself over 8 days, discovering better agents than hand-tuned versions.”