Services
Work with me
I build intelligent systems that hold up in production - from AI prototypes and full-stack features to the cloud infrastructure that runs them. Every engagement is shaped around what your product actually needs.
These packages are starting points, not rigid boxes. We'll define the right scope together on our first call. Custom quotes are available for anything outside these ranges.
01
AI Strategy + Prototyping
Discovery & Proof of Concept
Timeline: 1-3 weeks
Turn your AI idea into a working proof of concept.
Before committing to a full build, validate that AI is the right tool for the job. I map the problem, prototype a solution with the right models, and give you a clear, costed roadmap.
What's included
- Problem-fit analysis for AI/ML solutions
- Rapid prototyping with LLMs, embeddings, or custom models
- Architecture review and feasibility assessment
- Data pipeline design and evaluation
- Clear next-step roadmap with cost estimates
02
Full-Stack AI + Infrastructure
End-to-End Delivery
Timeline: 2-6 weeks
From model to production. One engineer, zero gaps.
End-to-end delivery for AI-powered products - model development, application code, and the cloud infrastructure to run it reliably. No handoff friction, no translation layer.
What's included
- End-to-end AI feature development
- Cloud infrastructure setup (AWS / GCP / Azure)
- CI/CD pipelines and GitOps workflows
- Containerization with Docker & Kubernetes
- Monitoring, alerting, and observability
03
Ongoing DevOps + AI Ops
Retainer & Support
Ongoing collaboration
Keep your systems healthy. Ship with confidence.
For teams that need a reliable engineering partner without hiring full-time - continuous infrastructure improvements, model updates, and dependable deployments.
What's included
- Infrastructure maintenance and optimization
- Model monitoring and retraining pipelines
- Security hardening and compliance
- Cost optimization across cloud providers
- On-call support for critical systems
Scope
What I build- and what I don't
To save everyone time upfront, here's what falls inside and outside my scope.
✓What I do
Inside my scope
- AI/ML feature development - LLMs, RAG, embeddings, custom models
- Cloud infrastructure across AWS, GCP, and Azure
- CI/CD pipelines, GitOps, and deployment automation
- Containerization and orchestration with Docker & Kubernetes
- Monitoring, alerting, and observability stacks
- Full-stack web apps and APIs (TypeScript, React, Python)
✗What I don't currently offer
Outside my scope
- Native mobile apps (iOS/Android) requiring Swift, Kotlin, or Flutter
- Brand identity, logo, or print design work
- Ongoing content writing or copywriting
Need something adjacent? If it's outside my wheelhouse, I'm happy to recommend trusted specialists. If it's AI or infrastructure- that's exactly what I do.
How we work
Terms & process
Engagement
Fixed-scope projects or retainers.We'll shape the right model together on our first call.
Communication
Regular updates, async-friendly, calls when needed.
Stack
Cloud-native by default - AWS, GCP, Azure, Docker, and Kubernetes.
Reliability
Monitoring and observability built into every deployment.
Timezone
Flexible - I collaborate across international hours.
Availability
Open to roles, contracts, and collaborations worldwide.
Why me
“I bridge the gap between AI research and production engineering. By owning the full lifecycle from experiment to deployment, I deliver intelligent systems that aren't just clever - they're reliable.”
No handoff gaps
Model, application, and infrastructure handled by one engineer who thinks in systems.
Built to scale
Infrastructure and pipelines designed to grow with your product, not fight it.
Production-ready
AI that holds up under real load - with monitoring that catches problems before users do.
Ready to start?
Tell me about your project.
Have an AI challenge or infrastructure problem? I'll get back to you within 48 hours with thoughts and next steps.
or reach me at [email protected]