📚 Knowledge Sharing

Learn by Building

Practical lessons on AI, data systems, and financial markets designed for builders who learn best by doing. Each lesson combines theory with hands-on implementation.

2
Beginner
3
Intermediate
1
Advanced
6
Total Lessons

Learning Philosophy

The best way to understand complex systems is to build them yourself

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Practical First

Start with working code, then understand the theory behind it

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Outcome Focused

Every lesson has clear, measurable learning outcomes

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Iterative Learning

Build, break, improve—learning through continuous iteration

Beginner Friendly

Perfect starting point for those new to AI, data systems, or financial markets

Prompt Patterns for Builders

Beginner

What you'll learn:

  • Write robust prompts
  • Avoid common failure modes
  • Ship faster with AI

Options 101 for Engineers

Beginner

What you'll learn:

  • Calls vs puts
  • Volatility basics
  • Risk frameworks for builders

Intermediate Depth

For builders ready to tackle more complex systems and patterns

Agents 101: Tasks, Tools, and Safety

Intermediate

What you'll learn:

  • Design agent loops
  • Choose tools safely
  • Measure agent success

Building Scalable Data Systems

Intermediate

What you'll learn:

  • ETL pipeline design
  • Database optimization
  • Real-time processing

Enterprise Mobile App Architecture

Intermediate

What you'll learn:

  • Android best practices
  • Location services integration
  • Offline-first design

Advanced Mastery

Deep dives into cutting-edge techniques and production-ready implementations

Machine Learning for Financial Markets

Advanced

What you'll learn:

  • LSTM for time series
  • Genetic algorithm optimization
  • Risk-adjusted backtesting

Building something ambitious?

I partner with founders, teams, and educators to move ideas from concept to shipped product with speed and clarity.

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