Work Experience

R&D Internship

• HGTech, summer 2024
  • Worked on digital human topics, deployed various services on compute server directly or using docker containers, hosted locally a Streamlit-driven webpage to track service status

Algorithms Internship

• VisionTalk, June 2024
  • Improved LLM performance and robustness on chat generation and decision making via breaking down a complex task and designing/implementing a Multi-agent system

Summer Research Internship

• GraphviX Lab, IPAB, UoE, summer 2023
  • Researched on topics of sketch-based inverse procedural modeling. Implemented shape grammars based on Blender geometry nodes and its APIs. Trained neural networks to inference shape parameters from sketches, and integrated above pipelines as a Blender plug-in. Some tech stacks are also part of my bachelor dissertation.

Tutor

• UoE, 2023
  • Delivered weekly tutorials for the course Reasoning and Agents, two hours per week

Software Infrastructure

• Edinburgh University Formula Students (EUFS), 2022 ~ 2023/24
  • Software Infrastructure team for Driverless Vehicle
  • Maintained, refactored and extended eufs_cli, the command-line-interface tool in Python
    • refactored 70 lines of repeated code for each command to 5 lines
  • Provide supporting functionalities around git, colcon and more
  • Contributed to the server backend of EUFS-Testing-Application
  • Update launch configurations of the self-driving race car under different tasks

Algorithms Internship

• Wuhan Tianyu Information Industry, summer 2021
  • Carried out object detection tasks using OpenCV-Python and YOLOv5, trained models focusing on human and traffic analysis tasks. Wrote scripts to process large amount ofArUco codes. Collected, cleaned and augmented dataset for training