The prototype works on one laptop only
03 / Services / Cloud / Production
Forward-Deployed Engineer (FDE)Software that stays up.
Embedded engineering: I work directly with your team to turn AI capabilities into deployed, business-ready systems on the ground.
01 / The problem
What usuallygets in the way.
Turn prototypes into maintainable applications on AWS, GCP or Azure, with infrastructure as code, CI/CD and observability.
Deployments are manual and scary
No visibility into errors, latency or spend
02 / What I build
What you get.
- Containerised services and infrastructure as code
- CI/CD pipelines with tests and preview environments
- Logging, metrics, alerts and cost guardrails
03 / How it works
From commit to observed production
A typical architecture for this kind of work. Scroll to follow the flow, or hover a stage for detail.
Code
Reviewed changes with tests alongside.
CI/CD
Build, test and deploy on every merge.
Containers
The same image runs locally and in the cloud.
Cloud runtime
Managed services sized for real load.
Observability
Logs, traces and alerts on what users feel.
Cost controls
Budgets and scaling rules to avoid surprises.
04 / In depth
The details.
As a Forward-Deployed Engineer, I embed with your team to take AI from idea to deployed reality - working against your real data, systems, and users, closing the gap between a promising model and a system that actually runs the business.
Embedded Delivery
I sit with your stakeholders, learn the domain, and build in your environment - fast iterations against real requirements instead of a spec thrown over the wall.
Rapid Prototyping to Production
From a working prototype in days to a hardened, integrated deployment - RAG systems, agents, pipelines, and internal tools that fit your stack.
Integration with Real Systems
Connecting LLMs and ML to your CRMs, databases, warehouses, and APIs, handling the messy edge cases production always brings.
Enablement & Handoff
Documentation, observability, and knowledge transfer so your team owns and extends the system after I roll off.
05 / Tech stack
Tools I usefor this work.
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- Terraform
- Next.js
- FastAPI
More in Cloud / Production
06 / Related work
Proof,not promises.
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Need Forward-Deployed Engineer (FDE)?Let’s scope it together.
Tell me about the goal, the data and the constraints. I’ll reply with questions and a practical first step.