resume

Electrical and Electronic Engineering Research (PhD)

• Topics: generative artificial intelligence (genAI) for natural language processing (NLP), AI for finance

MEng of Electrical and Information Engineering

• First class honour
• Top 5%, Dean's list in Years 2022,2023,2024 and 2025
• Final Year Project "Efficient Compression of Large Language Models for Edge Devices through Tensor Decompositions", supervised by Prof. Danilo Mandic
• Main moduels
  • Probability and Stochastic Processes
  • Optimisation
  • Statistical Signal Processing and Inference
  • Deep Learning
  • Computer Vision
  • Machine learning
  • Advanced Computer Architecture
  • Control Systems
  • Signals and Systems

A Levels & IGCSE

• 4 A*s in Further Maths, Maths, Physics and Chemistry
• Accumulative marks Top 1 in China -- 2020 Cambridge Outstanding Learner Award (Best Across Three)

CPU Design Internship

• Helped Central Engineering (CE) team design and develop a co-processor that accelerates matrix multiplication for machine learning tasks.

Part-time Machine Learning Undergraduate Researcher

• Utilised Graph Neural Network (GNN) to model multiphase fluid flow dynamics for CO2 geological storage, hydrogen storage, and fuel cells using real experimental data

Undergraduate Research Opportunities Program (UROP)

• Developed a colour-tracking 4-DOF robotic arm using remote control within ROS2 framework.

UNDERGRADUATE TEACHING ASSISTANT (UTA)

• Mentored and supported junior students during the classes and labs of the following modules.
  • Deep learning (ELEC60009/70061)
  • Machine learning (ELEC60019/70059)
  • Mathematics 1A (ELEC40012A)
  • Probability and Statistics (ELEC50011B)
  • Control systems (ELEC50004)

Software Engineer

• Applied machine learning (ML) approaches to analyse and forcast the utilisation of e-vehicle charging stations.

• Henry Ford II Scholar Award in Electrical Engineering (awarded annually to a student with the best academic record based on the final first degree examinations continuing in the Department to pursue a PhD)

• Dean's List (awarded to top 10% of the cohort)

• Dean's List (awarded to top 10% of the cohort)

• Dean's List (awarded to top 10% of the cohort)

• Dean's List (awarded to top 10% of the cohort)

• A-Level - Cambridge Outstanding Learner Award (awarded to Top 1 in China)