
Specializing in
Math & CS @ UIUC · Incoming M.Eng. EECS @ UC Berkeley · Building intelligent systems at the intersection of ML research and engineering.
Hi, I'm Boyu Liu — a Math & CS student at UIUC, incoming M.Eng. EECS at UC Berkeley. I build at the intersection of machine learning research and software engineering.
I'm genuinely excited by new technology, and one of my favorite things to do is turn ideas into real products — from the first line of code to something people can actually use. There's something uniquely satisfying about shipping something end-to-end.
My research interests includes Robotics that generalizes in the physical world, reinforcement learning, time series question answering, AI agents, and LLM routing. On the engineering side, I care about systems and infrastructures that are reliable and well-designed for fast iteration.
Machine Intelligence Lab @ Westlake University
Extended Reinforce (ICML 2024) with visual perception (R3M + proprioception) for policy learning on FurnitureBench robotic assembly tasks. Built an end-to-end offline RL training pipeline enabling 50K+ step runs on variable-length trajectory data.
National Center for Supercomputing Applications
Built EACUE, a mobile-first survey platform for accessibility evaluations using Next.js + Node.js + MongoDB, with a dynamic question-routing engine and Docker containerization.

AI Stakeholder Simulation Platform
Full-stack platform that simulates AI stakeholder reactions to validate product ideas. Multi-agent LLM pipeline generates diverse synthetic personas in parallel, reducing simulation latency by 90%. Streaming chat APIs for real-time conversations with AI personas persisted to PostgreSQL.
Voice-First iOS Productivity App
Voice-first task management iOS app using SwiftUI and MVVM. Modular Python/FastAPI backend for agent orchestration with structured tool calling. Supabase + PostgreSQL with Row Level Security, JWT auth, and 100% offline functionality with background sync.
Distributed Systems
Distributed transaction processing system in Go across multiple cluster VMs using TCP peer communication. ISIS-style totally ordered multicast ensuring consistent global ordering across live nodes. Achieved 1ms p95 latency in 3-node and 3ms p95 / 10ms p99 at 8 nodes.

Full-stack Spring Boot application for searching Twitch resources with personalized content-based recommendations. React + Ant Design frontend, MySQL on AWS RDS, RESTful APIs via OpenFeign, Spring Security for auth, and AWS App Runner deployment.



Benchmarking framework for Small Language Models on the Efficiency-Energy-Effectiveness triad. LoRA fine-tuning reducing trainable parameters to 2.4% and GPU memory by 80%. Hardware-aware inference engine measuring TTFT, throughput, and energy-per-token.
Coming soon.
Open to research collaborations, full-time roles, and interesting conversations.