Li Mingyang

Master in Data Science | GPA: 3.9/4.0

Bachelor in Software Engineering | GPA: 90/100

iOCBC Trading Platform - Web Automation

• Automated around 500 web regression test cases for the iOCBC trading platform using Playwright, covering critical trading workflows and release validation scenarios.
• Built an AI-assisted automation workflow that reads Excel-based manual test cases and generates BDD step definitions and Page Object files, significantly reducing repetitive scripting effort.
• Integrated Playwright MCP to assist with element discovery, locator generation, and page interaction validation, improving automation development efficiency and locator accuracy.
• Deployed automated regression suites to Jenkins and supported CI-based execution, reporting, and release regression readiness.
• Developed a Jenkins MCP integration to retrieve build results, failed cases, logs, and execution context, enabling AI-assisted failure analysis and faster root cause investigation.

Tez Teller System

• Managed 1,200+ test cases across core banking modules including deposits, transfers, and loans.
• Identified and tracked 300+ functional defects via Jira, including complex SIT and production-like edge cases.
• Developed 50+ high-impact automated regression scripts using AccelQ for critical transaction paths.
• Built a Zephyr MCP integration with Windsurf to automate test case CRUD operations, adopted by 20+ QA engineers.

• Tested an international mini-program container SDK; designed 120 P0-level test cases and built Espresso automation for 80% of core functional APIs.
• Identified and supported fixes for 10 high-priority bugs, improving SDK stability.
• Contributed to a quality dashboard with 15+ release monitoring indicators and supported two release cycles.

• Built a native iOS 17+ health tracking app from 0 to 1 using SwiftUI and SwiftData, despite having no prior iOS development experience.
• Used Codex and Claude Code in a vibe-coding workflow to learn, design, implement, debug, and iterate across product, UI, data models, and testing.
• Designed a weighted scoring engine for diet, sleep, exercise, stress, supplements, and hydration, with unit tests for core scoring and data export logic.
• Integrated HealthKit, StoreKit 2 subscriptions, notification scheduling, CSV/PDF export, and bilingual localization with 600+ String Catalog keys.
• Maintained a structured seed food database with 250+ bilingual food items, aliases, pinyin search, stable IDs, and migration-safe historical snapshots.

• Designed a Bitcoin price prediction project using social media sentiment analysis and machine learning.
• Collected and processed 830,000+ real-time Bitcoin-related tweets via Twitter API.
• Applied VADER, TextBlob, and Hugging Face Transformers for multi-dimensional sentiment analysis.
• Built and optimized machine learning models, achieving 94.91% accuracy with linear regression.

• Designed, developed, and operated a network acceleration service for Chinese college students.
• Used Docker to build VMess-based encrypted networks on overseas VPS and optimized routing for low-latency access.
• Built automated monitoring, responsive website, and self-service user system.
• Attracted 5,000+ registered users and 2,000+ paid users, achieving an 85% renewal rate.