Maicarons
Economics Graduate & Full-Stack Developer
Passionate about leveraging economic insights and cutting-edge technology to solve complex problems. Experienced in data analysis, web development, and creating innovative solutions that bridge the gap between economic theory and practical applications.
Professional Experience
- Developed high-frequency trading systems for HKEX, achieving 40% increase in daily trading volume
- Built multi-factor quant models with 15% risk-adjusted annual alpha
- Optimized order execution using ML algorithms, reducing market impact costs by 23%
- Designed real-time risk monitoring system with sub-second anomaly detection
- Led 3-member team in developing automated arbitrage systems for Stock Connect securities
- Implemented market-making strategies for Hang Seng Index constituents with 98% uptime
- Developed automated localization pipelines supporting 30+ languages, reducing turnaround time by 45%
- Implemented CI/CD workflows for multilingual software releases using Jenkins and GitLocalize
- Designed regex-based content extraction tools that improved string translation accuracy to 99.2%
- Integrated AI-powered translation memory systems that reduced localization costs by 35%
- Led the localization of 15+ products for Asian markets (Chinese, Japanese, Korean)
- Built QA automation tools detecting locale-specific formatting issues in UI/UX elements
- Developed and maintained web applications using Vue and Node.js
- Implemented responsive designs and optimized application performance
- Participated in agile development processes and code reviews
- Contributed to the development of the company's main product platform
- Developed time-series forecasting models for key agricultural commodities (corn, wheat, soybeans) using ARIMA and Prophet
- Analyzed the impact of climate patterns and USDA reports on price volatility using Python (Pandas, Statsmodels)
- Created interactive dashboards visualizing price trends and seasonal patterns with Plotly and Tableau
- Published research on the correlation between El Niño weather cycles and palm oil futures prices
- Collected and processed global agricultural market data from FAO, USDA, and Bloomberg terminals
- Assisted in developing machine learning models to predict crop yield impacts on commodity prices
Education
Specialized in Econometrics and Data Analysis with a minor in Computer Science
Relevant Coursework:
- • Advanced Econometrics
- • Statistical Analysis
- • Macroeconomic Theory
- • Financial Economics
Computer Science Courses:
- • Data Structures & Algorithms
- • Database Systems
- • Web Development
- • Machine Learning
Skills
* Statement: I do not engage in any political content or activities, nor do I endorse the political views of any software or project developers.
Featured Projects
Developed a privacy-focused mobile application using Flutter that runs large language models (LLMs) locally on device without requiring internet connectivity. Implemented model quantization for efficient resource usage and achieved near-native performance on mid-range smartphones.
Built an automated system to monitor and notify users about available tour slots at South Korea's presidential palace. Utilizes edge computing for low-latency checks and integrates with messaging platforms for instant alerts when reservations open.
Designed an Entity-Component-System architecture specifically optimized for Ebitengine game development. Provides memory-efficient entity management and systems for rendering, physics, and AI that outperform generic ECS implementations by 30% in benchmarks.