1. Internal Devices Configuration Automation Platform

I built an object-oriented automation pipeline in Python to validate and convert hierarchical configuration data from 10+ hardware modules into structured JSON, enabling scalable NoSQL storage and reducing processing time by 99%. I also refactored legacy codebases to improve maintainability and onboarding efficiency using modern OO design principles.

2. High-Performance Command-Line Interface (CLI) Tooling for Embedded Systems

I developed backend CLI tools on Linux using C/C++, focusing on multithreading and memory-efficient data structures to reduce execution time by 40% and memory usage by 30%. My work included writing robust unit tests, implementing alerting/logging, and contributing to over $50K in revenue. I also collaborated with a 20-person cross-regional team via GitLab, resolving documentation gaps and ensuring smooth release cycles.

Backend developer

Developed RESTful APIs for the GoBig mobile app, enabling dynamic posts, image uploads, likes, and event publishing, successfully deployed on AWS EC2, supporting 1000+ active users.

Implemented Spring AOP for role-based data access control and optimized API performance by caching IP blacklists with Redis, reducing call latency by 35%. Led efforts to resolve idempotency issues in WeChat payment processing using distributed locking with Redis and Lua scripts, reducing order errors by 28%.

Spearheaded containerization adoption with Docker and Kubernetes, reducing deployment time by 40% and improving system scalability.

As part of the Rapid Reviews Infectious Diseases (RR\ID) Data Science Project, I contributed to developing AI/ML/NLP tools to enhance the efficiency of scientific peer review and automate research analysis.

In my role, I built and worked on interactive database systems for internal operations, transitioning from Google Sheets to higher-capacity platforms like Airtable and Softr. Additionally, I helped build real-time dashboards for performance tracking and content visualization, integrating data from our publishing platform (Janeway).

I also supported the development of AI-enabled tools to improve author and reviewer identification, leveraging network analysis and machine learning to rank and disambiguate research contributors based on methodological proximity.