Master Code Optimization Through Real Projects

Join our comprehensive 8-month program starting September 2025. Work with actual codebases from Taiwan tech companies while learning advanced optimization techniques that make systems run faster and more efficiently.

Reserve Your Spot

Why Projects Beat Theory Every Time

Last year I worked with a startup here in Taipei that had response times hitting 8 seconds. Their database queries were pulling entire tables when they only needed three columns. After applying proper indexing and query optimization - something you'll learn in month four of our program - we got those same requests down to 200 milliseconds.

Real optimization work means understanding how systems actually break under pressure, not just memorizing algorithms.

That's exactly what you'll experience. Instead of working through contrived examples, you'll dig into actual production code from local companies. The messy, complicated stuff that teaches you how optimization really works in the wild.

Developer analyzing complex code optimization metrics on multiple monitors

Learning That Actually Sticks

Most coding bootcamps teach you to write code. We teach you to make it better. There's a huge difference between someone who can build a feature and someone who can make that feature run efficiently at scale.

The best optimization engineers I know didn't learn by reading textbooks. They learned by fixing real problems that were costing companies actual money.

Our program runs from September 2025 through April 2026. Each month focuses on a different aspect of optimization - from database performance to memory management to network efficiency. By the end, you'll have a portfolio of actual optimization work that demonstrates real capability.

Database Optimization

Work with PostgreSQL and MongoDB databases running real applications. Learn query analysis, indexing strategies, and connection pooling through hands-on debugging.

Algorithm Efficiency

Take existing algorithms from production systems and make them faster. Focus on practical improvements rather than theoretical complexity analysis.

Performance Monitoring

Use professional tools like New Relic and DataDog to identify bottlenecks in real applications. Learn to read performance data like an expert.

What Makes This Different

  • Work with actual codebases from Taiwan tech companies, not toy examples
  • Small cohorts of 12 students maximum for personalized attention
  • Evening schedule designed for working professionals (6:30-9:30 PM)
  • Direct mentorship from senior engineers currently working in optimization
  • Focus on measurable improvements you can demonstrate to employers
  • Industry connections through our partner companies in Taipei and Kaohsiung
8
Months of Intensive Training
Henrik Wallin

Henrik Wallin

Backend Engineer, Shopee

Petra Korhonen

Petra Korhonen

Senior Developer, TSMC IT

Sienna Dubois

Sienna Dubois

Performance Engineer, MediaTek

Before this program, I could build features but had no idea why some ran slow while others were lightning fast. Working on actual production optimization problems changed how I think about code completely. The project with the e-commerce database taught me more in two weeks than I learned in six months at my previous job.

- Henrik, 2024 Graduate

Code optimization workshop session with students analyzing performance metrics on laptops

Real Skills for Real Problems

The tech industry in Taiwan is growing fast, but there's still a shortage of engineers who really understand performance optimization. Companies are dealing with increasing user loads, more complex data requirements, and tighter performance budgets.

This creates opportunities for developers who can step into existing systems and make them better. That's what our program prepares you for - not building from scratch, but improving what already exists.

Applications Open for September 2025

Limited to 12 students per cohort. Program runs September 2025 through April 2026. Evening classes accommodate working professionals throughout Taiwan.