Machine Intelligence
Optimizing LLMs for edge computing and ML hardware acceleration.
SEC-001
Simple solutions to complex problems
Andrew Kuang is a Data Science student at the University of California, Davis with a passion for creating simple solutions to complex problems.
Since starting college, he has worked on machine learning hardware at Qualcomm, financial modeling of tech companies at Wahdy Capital, AI agents to simplify DevOps at Kubiya, and business research at Vestrio.
Optimizing LLMs for edge computing and ML hardware acceleration.
AI agents that simplify DevOps and operational workflows.
Security permissions and integrity across sensitive data pipelines.
Financial modeling and business research for real decisions.