WHAT I BUILD
Agentic AI Systems - Autonomous workflows that actually ship to production
- Multi-agent orchestration platforms (CrewAI, LangChain) for
end-to-end workflow automation - Tool-using agents that integrate with your existing APIs,
databases, and business systems - Agent evaluation frameworks to measure quality and catch
regressions before they reach users - Production-ready deployments with monitoring, error handling,
and failover logic
- End-to-end RAG pipelines from document ingestion to
production deployment - Vector search with leading vector databases (pgvector, Pinecone,
Weaviate, Qdrant, Chroma) selected based on your scale,
infrastructure, and budget requirements - Intelligent chatbots with semantic understanding over your
private knowledge base - Lead qualification and customer-facing AI assistants with
scoring and analytics
LLM Integration & API Development
Connect LLMs to your existing systems
- FastAPI backends that expose AI capabilities to your
applications - Multi-provider LLM setup (OpenAI, Anthropic, open-source)
with fallback and cost optimization - Self-hosted LLM infrastructure for privacy, compliance,
and cost control - Prompt engineering systems with versioning and
evaluation frameworks
AI Infrastructure & Deployment
Production-grade infrastructure that runs 24/7
- Self-hosted AI stack on your hardware or cloud
(Docker, Cloudflare, automated CI/CD) - Containerized deployments that eliminate
"works on my machine" problems - Monitoring, logging, and observability for AI systems
- Secure data pipelines meeting compliance requirements
(PIPEDA, HIPAA, SOC2)
HOW I WORK
- I build, not just advise — every engagement ends with
working software - Fixed-scope projects or ongoing retainers
- Remote-first, available for onsite when needed
- Clean handoff: documentation and knowledge transfer included
- Typical delivery: 2-6 weeks for first working system
