Single prompts cannot handle multi-step work
03 / Services / Agentic AI
Forward-Deployed Engineer (FDE)Agents with clear boundaries.
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.
Design multi-step AI agents that plan, use tools and hand off to people - with guardrails, tracing and review where it matters.
Agents take actions nobody can trace or undo
Tool integrations are brittle and untested
02 / What I build
What you get.
- A supervisor-and-specialist agent design
- Tool integrations with guardrails and approvals
- Traces, evaluations and a human-review path
03 / How it works
From a request to a reviewed action
A typical architecture for this kind of work. Scroll to follow the flow, or hover a stage for detail.
Request
A goal in plain language, with user context.
Planner
A supervisor splits the goal into steps.
Tools
Specialist agents call APIs, search and databases.
Memory
State carried across steps and sessions.
Guardrails
Policies check inputs, outputs and actions.
Human review
Approval for anything costly or irreversible.
Action
The result is delivered and fully traced.
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.
- LangGraph
- MCP
- OpenAI
- Claude
- Groq
- LangSmith
More in Agentic AI
Agentic AI
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.