Quanta o Shi

+86 191 6750 5171 | sqt200754@outlook.com | Shenzhen, China

Education

Sun Yat-sen University, School of Biomedical Engineering

Biomedical Engineering, Undergraduate

Relevant coursework: Mathematical and Physical Foundations, Programming, Circuit Analysis, Introduction to Biomedical Engineering, Marketing.

Project Experience

Asset Tracker

Built a multi-platform asset tracking system using React, Vite, TypeScript, and SQLite with a normalized 3NF database design. Integrated Trading212 API, fund price sources, and real-time exchange-rate services across 7 data sources with CNY / USD / GBP switching.

Value Investing Terminal Research Management System

Built an investment research management and review platform with FastAPI, Vue.js, and SQLite. Designed a dual-track workflow for deep research reports and dynamic tracking, building long-term value anchors and short-term event records for 100+ companies. Implemented an AI-native application workflow covering AI retrieval, analysis, research reports, upload, and tracking.

Live site: invest.stoneking.top

MyConfucius Semantic Search

Used a vector database to build a semantic search website for Yang Bojun's annotated edition of The Analects. Returned chapter names, paragraph IDs, and relevance scores through an API to improve retrieval efficiency for classical texts.

Site link: myconfucius.stoneking.top

Lean Quant Backtesting Framework

Built a multi-symbol quantitative backtesting framework using Python, NumPy, and Numba. Simulated trend-following, mean-reversion, and pair-trading strategies, calculating period returns, Sharpe ratio, and related metrics.

Skills

Programming Languages

C, Python, etc.

Tools

React, Vue.js, FastAPI, SQLite, AutoCAD, Solidworks, Office, Openclaw, CodeX

Core Ability

Interdisciplinary engineering problem analysis and software architecture design

Languages

Mandarin (native), English (fluent), Cantonese (daily conversation)

Personal Direction

With a biomedical engineering background, focused on translating artificial intelligence into healthcare applications, especially clinical assistance, medical data analysis, and intelligent medical devices. Also maintains ongoing interest in AI medical ethics, data science, and financial technology.

← Back to Home