Evan Li is a CTO and UCLA computer science master's student with eight years of experience building and evaluating agentic AI systems, probabilistic models, and production ML pipelines. At BioStrive he leads development and benchmarking for RAG-based agents, implementing CoRAG optimizations, vector databases, and ARES-style evaluation and unit tests. His academic work spans controllable language generation and efficient inference-time control methods—leveraging tractable HMM-style surrogates and TRACE-inspired frameworks to steer LLMs without retraining. He also probes the theory of in-context learning and distillation for diffusion LMs through rigorous experiments in JAX and PyTorch. Prior roles include quantitative trading and back-end/DevOps contributions to an automated GitHub ranking repo, demonstrating a blend of research rigor and hands-on engineering. Based in Los Angeles, he focuses on turning probabilistic insight into practical, testable systems that scale from lab to product.
:star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名,每日自动更新
Role in this project:
Back-end & DevOps Engineer
Contributions:1335 commits, 4 PRs, 2003 pushes in 4 years 2 months
Contributions summary:Evan primarily focused on enhancing the repository's automation and data processing capabilities. They added and modified Python scripts to retrieve and save data related to GitHub repository rankings, including the most stars and forks for different languages. Furthermore, the user implemented a CI/CD pipeline using a shell script and batch file for auto-updating the repository and automating the commit process, along with code formatting improvements. They also refactored the code to save data to CSV files.
Contributions:98 pushes, 2 branches in 3 years 4 months
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Evan Li - Chief Technology Officer at UCLA Computer Science