Ship AI Features
Without the Risk
Fractional CTO guidance for startups wrestling with AI. From experimental prototypes to production-grade systems.
Deep expertise in Anthropic Claude, AWS Bedrock AgentCore, custom agent development, and the MLOps infrastructure to run it all reliably.
Currently shipping Claude integrations for 3 startups.
Your AI prototype works in demos.
But production is a different beast.
[ERROR] Hallucinations in critical paths
[ERROR] Prompt injection vulnerabilities
[WARN] Unpredictable token costs
[WARN] Observability gaps in agent workflows
The distance between “cool demo” and “reliable product” is wider than it looks.
$That's where I come in._
Credentials
Expertise Stack
30+ years of experience across five critical infrastructure layers — from enterprise commerce to modern AI/ML systems.
AI/ML Layer
[AWS Certified]
AWS Bedrock Agents, AgentCore orchestration patterns
Anthropic Claude (Sonnet/Opus) via Bedrock and API
Custom subagent & Claude Code skills development
Amazon SageMaker, Guardrails, Knowledge Bases
GCP Vertex AI, Gemini Models
MLflow, Langflow, Langfuse, LangSmith observability
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Application Layer
[20+ Years]
AWS Cognito, Lambda, API Gateway
Authentication at scale (ATG, Oracle Commerce patterns)
B2C/B2B application architecture
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Data Layer
[eCommerce Scale]
RDS, DynamoDB, ElastiCache, OpenSearch
Vector databases for RAG
Data pipelines (Glue, EMR)
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Infrastructure Layer
[HA/Enterprise]
EKS, EC2, LightSail, CloudFront
GCP GKE, Cloud Run
Multi-region, fault-tolerant architecture
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Operations Layer
[DevOps/MLOps]
CloudWatch, CloudTrail, Config
Kubernetes-native CI/CD
LLM observability (Langfuse, LangSmith)
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Core Capabilities
Bridging experimental AI and production systems. Each capability is backed by structured assessment modules for measurable outcomes.
> Click any capability to explore related modules
AI_SERVICES
premiumAI product development, LLM integration, MLOps infrastructure, and AI workflow automation
DEVOPS
premiumDeployment automation, continuous integration, release management, and DevOps culture assessment
CODE_QUALITY
standardCode review practices, test coverage and strategy, refactoring priorities, and engineering quality standards
ROADMAP
premiumProduct roadmap alignment with business goals, technical debt prioritization, and long-term technical strategy
ORGANIZATION_LEADERSHIP
standardTeam structure, engineering management practices, hiring, retention, and technical leadership
ARCHITECTURE
premiumSystem architecture review, scalability bottlenecks, performance optimization, and design patterns
ARCHITECTURE
premiumSystem architecture review, scalability bottlenecks, performance optimization, and design patterns
SOFTWARE_ARCHITECTURE
standardSoftware design patterns, code organization, module boundaries, and architectural best practices
DATA_AI_READINESS
supportingData infrastructure, analytics capabilities, data governance, and AI/ML readiness assessment
AWS_CLOUD
premiumAWS architecture review, Kubernetes deployment patterns, infrastructure as code, and cloud cost optimization
DEVOPS
premiumDeployment automation, continuous integration, release management, and DevOps culture assessment
CYBERSECURITY_RISK
premiumSecurity posture assessment, vulnerability management, access controls, and risk mitigation strategies
BEDROCK_AGENTCORE
premiumAnthropic Claude integration via AWS Bedrock, AgentCore orchestration architecture, custom subagent development, and reusable skills libraries
AI_SERVICES
premiumAI product development, LLM integration, MLOps infrastructure, and AI workflow automation
Open Source Artifacts
Production tools built with the same engineering standards we use for paid work. Free to use. Actively maintained. Apache-2.0.
Agent Skills marketplace (Anthropic standard) for Claude Code, Cursor, VS Code
gh repo clone agentic-insights/foundrycargo install neocortxcargo install ycbustClaude Code Plugins
Production-ready plugins for Claude Code built with the Agent Skills open standard. Install via the marketplace.
Type-safe LLM extraction with code generation, schema design, testing, and multimodal support
Deploy LangGraph agents on AWS Bedrock AgentCore with managed runtime, memory, and tool gateway
Create, validate, and publish portable skills following the Agent Skills open standard
Adversarial code review based on Block's g3 dialectical autocoding research
PARA-based personal knowledge management with AI-friendly navigation
Professional terminal recordings with Charm's VHS for demos and documentation
claude plugin add <plugin-name>@foundryTrack Record
High-impact engineering solutions at scale.
Geospatial Platform Modernization
Legacy indoor mapping → modern multi-platform ecosystem
Registered Patent • 10+ engineers • Multi-platform SDKs
- →Replaced SVG artifacts with GeoJSON format (geodetic accuracy + digital twins)
- →Unified SDKs: iOS (Swift), Android (Kotlin), Web (TypeScript/MapLibre)
- →Solved scalability bottlenecks, enabled new market expansion
High Performance Pipeline
Tile-generation pipeline rewrite
48x faster • 24hrs → 30min • 62-worker distributed system
- →Re-architected parallel processing (ForkJoinPool → distributed workers)
- →Resolved concurrency and serialization bottlenecks
- →Enabled rapid iteration for mapping teams
Enterprise MLOps Infrastructure
Production AI infrastructure on AWS EKS
Langflow + Langfuse • High-availability • Security compliant
- →MLOps pipelines with visual workflow orchestration (Langflow)
- →LLM observability and tracing (Langfuse)
- →Cost-optimized containerized deployments with auto-scaling
Engineering Excellence DevOps
Automated quality gates and cloud migration
Docker/ECR • GitHub Actions • 3-layer testing
- →Migrated to containerized cloud-ready infrastructure
- →Unified CI/CD with automated semver releases
- →Unit + Integration + E2E testing with BrowserStack
About
Principal-level AI architect with experience building enterprise AI systems for Fortune 500 companies. Led teams through ML infrastructure buildouts, model deployments, and AI adoption strategies.
Currently researching AI engineering workflows through mem8, a Claude Code plugin for workspace management and context engineering (research phase).
Now consulting independently to help startups and scale-ups navigate the challenges of building reliable AI systems. Focus on practical engineering problems that emerge when moving from prototypes to production.