CV
One-page PDF, or the same content below.
Skills
- Technical: Python, SQL, MATLAB, Rust (basic), Java, Google Cloud, BigQuery, Terraform, CI/CD, PostgreSQL
- Quantitative: multi-agent systems, market microstructure, agent-based modelling, time-series modelling
- Data & ML: Pandas, NumPy, PyTorch/TensorFlow, reinforcement learning
- Languages: Chinese (native), English (fluent), Italian (learning)
Education
King's College London — MSc Computational Finance
Quantitative Methods in Finance · High-Frequency Finance · Statistics in Finance
University of Nottingham — BSc Computer Science, 2:1
Machine Learning · Mathematics for CS · Linear Discrete Optimisation · AI Methods
Haileybury College — A-levels
Maths (A*), Physics (A), Computer Science (A), Chinese (A*)
Experience
Blockchain.com — Data Engineer
- Designed and hardened ETL pipelines ingesting from PostgreSQL and APIs into Google Cloud (GCS, BigQuery) on a Medallion architecture — better reliability, latency and cost.
- Built near-real-time CDC workflows on Google Datastream; provisioned database pipeline infrastructure and CI pipelines in Terraform.
- Built Metabase dashboards end to end, defining metrics and data contracts for reporting.
Capgemini — Summer Data Analyst
- Built a complete credit-scoring system in Python (81% classification accuracy) — project.
- Developed an end-to-end payment prototype in SQL and Java.
Shenzhen Sanrise Technology — Data Software DevOps
- Developed and optimised the office database; SQL and Linux shell dashboards for analysis and auditing.
Projects
See Projects — CLMM-Bench (MSc thesis), agent-based prediction-market simulation, StockMARL (published), LSTM forecasting with Prof. Jacquier.