Tech & Product
My Approach
Working at the intersection of product and technology, I believe in creating solutions that are:
Data-Driven
Using controlled experiments and metrics to guide decision-making and validate assumptions.
User-Centric
Leveraging empathy and a theory of change to understand and solve real user problems.
Optimized
Slicing solutions to deliver maximum satisfaction with minimum effort, focusing on high-impact areas.
Well-Structured
Using the C4 model to describe system design and ensure clear communication across teams.
Technical Expertise
AI Systems
Experience with:
- Human-in-the-loop AI architectures
- Agent-based AI systems
- Feedback loops for continual model improvement
Education Technology
Building products that enhance learning experiences through:
- Personalized learning paths
- Adaptive content delivery
- Interactive engagement mechanisms
System Architecture
Designing scalable and maintainable systems using:
- C4 model for system visualization
- Iterative development approaches
- Modular architectures that evolve with changing requirements
Product Methodology
My approach to building products follows these key principles:
1. Problem Definition
Clearly articulate the problem space, target users, and success metrics before diving into solutions.
2. Theory of Change
Develop a coherent theory of how your intervention will lead to desired outcomes, with measurable steps along the way.
3. Experiment Design
Create controlled experiments to validate assumptions and gather real user data to inform decisions.
4. Solution Optimization
Continuously refine solutions to maximize impact while minimizing resources, focusing on the highest leverage points.
5. System Evolution
Design for change from the beginning, using modular approaches that can evolve as requirements and contexts shift.