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Work

Selected projects and capabilities. Due to NDAs and proprietary work, specifics are often generalized.

// current

ACTIVE

Multi-Tenant Cloud Platform

Designing and building a multi-region infrastructure platform. High-availability storage, API gateways, database provisioning, and AI workloads.

Python Terraform Docker PostgreSQL
ACTIVE

AI Agent Framework

Multi-model orchestration system for production AI workloads. Routing, caching, safety guardrails, and monitoring.

Python FastAPI LLMs

// open source

View all →

Cognition Commons

17 open source tools for LLM development: token counting, prompt management, response validation, testing utilities, cost tracking.

github.com/cognitioncommons →

Cognition Commons Research

Open research notes on cognitive architectures, multi-agent coordination, and alignment techniques.

cognitioncommons.org →

// past work

Cloud Infrastructure & DevOps

  • • Multi-cloud migrations (AWS, GCP, Azure) for enterprise clients
  • • Kubernetes cluster design and management at scale
  • • CI/CD pipeline architecture for large engineering teams
  • • Infrastructure-as-code implementations (Terraform, Ansible)
  • • High-availability and disaster recovery planning

Backend Systems

  • • API design and implementation (REST, GraphQL)
  • • Microservices architecture and migration
  • • Database design and optimization (PostgreSQL, MySQL, Redis)
  • • Event-driven architectures and message queues
  • • Performance optimization and caching strategies

AI/ML Systems

  • • LLM integration and production deployment
  • • RAG system design and optimization
  • • Agent orchestration frameworks
  • • ML infrastructure and model serving
  • • Prompt engineering and evaluation systems

Developer Tooling

  • • CLI tools for internal engineering workflows
  • • Developer productivity platforms
  • • Testing frameworks and utilities
  • • Documentation systems

// how I work

Architecture Reviews

Deep-dive into your system architecture. Identify bottlenecks, security issues, and scaling concerns. Deliverable: written report with prioritized recommendations.

Implementation Sprints

2-4 week focused engagements to build specific systems or features. I work embedded with your team or independently with async updates.

Technical Advisory

Ongoing advisory relationship. Regular check-ins, design reviews, and architectural guidance. Typically 5-10 hours/month.

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