Case Studies

Real-world examples of how I've transformed teams and delivered exceptional results across diverse technical challenges

Case Study 1Routable (YC '17)

FinTech Platform Transformation

Complex Rewrite with Process Innovation

📅 6 months👥 6-8 engineers
FinTech Platform Transformation
Challenge

Accelerate a team that had stalled twice on a critical platform rewrite. The team needed renewed confidence, clearer processes, and a path to breakthrough performance after previous setbacks.

Solution & Approach
Rebuilt team confidence through early wins and transparent communication
Switched from Scrum to Kanban for rapid iterations and continuous feedback
Implemented non-blocking processes with API stubs and contracts
Fostered team culture of 'collaborative achievement over individual excellence'
Created psychological safety for experimentation and learning from failures
Results & Impact
150%
Increase in team velocity
100%
Team retention during transformation
90%
Goal success rate
Node.jsReactTypeScript
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Case Study 2Training & Certification Company

Content Build System Architecture

Python & Docker Automation Platform

📅 3 months👥 Solo project
Content Build System Architecture
Challenge

Empower a content team to work independently by creating a build system that eliminates their dependency on engineering resources, while maintaining quality and consistency.

Solution & Approach
Collaborated closely with content team to understand their workflow pain points
Developed modular Python scripts for content processing
Built Dockerized Bottle.py API server for build management
Created Jenkins automation for nightly and ad-hoc builds
Provided training and documentation to ensure team autonomy
Results & Impact
<1 min
Individual file rebuild time
<10 min
Full site rebuild time
100%
Developer independence for content team
PythonDockerBottle.pyJenkinsDITAJavaScript
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Case Study 3Freelance Project

AI-Powered Learning Platform

TypeScript & Machine Learning Integration

📅 4 months👥 2 engineers
Challenge

Lead a small team to build an AI/ML powered study path solution that increases user engagement while mentoring a junior developer through their first complex project.

Solution & Approach
Mentored junior developer through AI/ML integration challenges
Integrated with Azure Machine Learning for path recommendations
Developed TypeScript-based application of personalized learning
Created adaptive learning system based on user performance
Established code review practices and knowledge sharing sessions
Results & Impact
40%
Increase in user engagement
85%
Course completion rate improvement
1 Junior
Developer mentored to senior level
TypeScriptAzure Machine Learning

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