Daniel Wang

A leading tech firm specializing in innovative AI software solutions.
Engineered and launched a new high-throughput microservices architecture in Go
(Gin framework), reducing API response latency by 60% and handling over 50,000
requests per minute.
Modernized a legacy monolithic PHP (Yii) application by decoupling features into
standalone services, improving code maintainability and enabling independent
scaling.
Designed and implemented a gRPC-based communication layer between services,
improving inter-service data exchange efficiency and reducing network overhead
by 40%.
Mentored three junior engineers on best practices for concurrency in Go, clean
code architecture in PHP, and effective API design in Python.
Implemented comprehensive CI/CD pipelines using GitHub Actions and Docker,
automating testing and deployment processes, which cut deployment time by 70%

A multinational corporation providing technology solutions and services across various
sectors.
Designed a real-time notification service using Python (FastAPI) and WebSockets,
decreasing user response time to critical alerts by over 80%.
Utilized RESTful API and GraphQL to develop scalable backend services.
Developed the core backend for a SaaS platform using PHP (Laravel, Symphony),
building features for user authentication, billing, and a complex permissions
system.
Optimized database queries and introduced caching strategies with Redis, resulting
in a 30% improvement in page load times for the main application.
Collaborated in an Agile team to deliver features on schedule, participating in code
reviews and sprint planning.