Capabilities
AI systems & prototypes
The kinds of AI systems, prototypes, and technical build work that show up across this portfolio. Some collaborations focus on rapid validation; others go deeper into orchestration, evaluation, and deployment.
01
Core Areas
What I build and deliver
01
AI Feature Prototyping
Rapid development of working AI systems to validate ideas before larger investment.
Functional demo
Architecture design
Integration plan
Deployment-ready backend
02
Multi-Agent System Design
Structured AI workflows for complex interaction and evaluation.
Agent orchestration
Feedback loops
Evaluation engines
State management
03
Voice AI & Real-Time Systems
Streaming voice systems with real-time interaction and session control.
WebSocket streaming
Session token design
Structured evaluation
Scalable backend architecture
04
AI for Learning Platforms
Systems designed for structured learning, training, and assessment.
AI tutors
Interview coaching tools
Content generation pipelines
Assessment engines
05
Deployment & Integration
Support for integrating AI systems into real products and operating them.
Cloud Run deployment
API design
Monitoring setup
Scaling guidance
02
Engagement Model
Phased delivery
Most projects follow a phased approach. Each phase is scoped based on project complexity and current product maturity.
Phase 1
Discovery & system design
Scope the use case, system boundaries, and architecture options against your product context.
Phase 2
Prototype development
Build a working version to validate flow, quality, and technical feasibility before larger rollout.
Phase 3
Validation & refinement
Improve output quality, tighten evaluation loops, and remove reliability issues found in testing.
Phase 4
Deployment & integration
Deploy to production infrastructure, integrate into your stack, and prepare for ongoing operations.
Working through an AI product direction?
I’m open to discussing whether a prototype, architecture review, or integration path makes sense for your context.