Chi Li

Co-Founder & CTO at Analogy AI

Menlo Park, California, United States
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Summary

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Rockstar
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Top School
Chi Li is a Co-Founder and CTO with 11 years of experience building production-grade infrastructure and distributed systems, now leading a startup focused on self-evolving AI data agents in Menlo Park. Previously at Meta, he worked on MySQL database replication and helped build MyRaft, a Raft consensus layer on MySQL that was accepted to EDBT'24, demonstrating expertise in consistency and availability at massive scale. His early work includes contributing to Facebook's ReDex Android bytecode optimizer, where he improved ProGuard rule processing and JNI-related optimizations—an indicator of low-level, performance-minded problem solving. Chi holds a Master's in Computer Science from the University of Chicago and a dual undergraduate background in computing and management from The Hong Kong Polytechnic University. He blends startup leadership with deep systems engineering, focusing on repeatable, auditable training data pipelines that close the loop between model signals and data collection. Notably, his career couples hands-on open-source contributions with research-quality systems work that scales across enterprise environments.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor's Degree, BSc (HONS) Computing & BBA (HONS) Management, Bachelor's Degree, BSc (HONS) Computing & BBA (HONS) Management at The Hong Kong Polytechnic University
bookMaster's degree, Computer Science, Master's degree, Computer Science at University of Chicago
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Github Skills (15)

javas10
code-optimization10
redex10
java-native-interface10
bytecode10
proguard10
java10
optimization10
android9
c-language8
jsonp8
json8
json-parser8
cprogramming-language8
parsing8

Programming languages (2)

C++Python

Github contributions (5)

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facebook/redex

Jul 2020 - Aug 2020

A bytecode optimizer for Android apps
Role in this project:
userBack-end Developer
Contributions:14 commits in 1 month
Contributions summary:Chi primarily contributed to the Redex bytecode optimizer for Android apps by implementing and improving ProGuard rules processing. Their work included adding features to track unused keep rules, which helps optimize the size of the app. They also introduced annotations and implemented parsing functionalities related to FBJNI configuration files, indicating work on integrating native code optimizations. This suggests a focus on refining the optimizer's ability to handle and optimize code related to Java Native Interface (JNI) calls.
android-appsandroidbytecodekotlinoptimizer
li-chi/kuduraft

Nov 2021 - Sep 2022

A Raft Library in C++ based on the Raft implementation in Apache Kudu
Contributions:57 pushes, 11 branches in 9 months
kudupaxosapacheapache-kuduraft
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