Services

Freelance AI engineering for serious production use cases

I help companies design, ship, and harden enterprise AI systems across GenAI, RAG, and MLOps. The angle is simple: fewer demo-only systems, more products that survive real users, real data, and real operations.

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Freelance RAG Engineer

Design and ship grounded retrieval systems with strong chunking, evaluation, observability, and production guardrails.

RAG architecture review before teams waste months on the wrong stack
Chunking and retrieval strategy tuned for enterprise documents and operational knowledge
Offline evaluation, regression alerting, and observability so quality stays stable after launch

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Freelance GenAI Engineer

Build enterprise GenAI assistants, copilots, and workflow tools with real business value, not just clever demos.

Product-first approach: use case, workflow, escalation, and ROI before model hype
Agent and tool orchestration designed for enterprise constraints
Security and prompt/tool hardening built in from the start

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Freelance MLOps Consultant

Structure the path from notebook or prototype to monitored, repeatable production delivery for AI and ML systems.

Production readiness audits for ML and LLM systems
CI/CD, release gates, and operational quality checks
Observability, tracing, and rollback thinking built into delivery

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Typical engagement formats

Architecture sprintShort, focused mission to frame the stack, main trade-offs, risks, and rollout plan before teams overbuild.

Hands-on implementationI ship the hard slice directly: retrieval layer, orchestration, evaluation harness, observability, or deployment hardening.

Production hardeningFor teams already live: quality gates, regressions, monitoring, and reliability work so the system stops drifting.

What good work looks like

Grounded answers before scale

Explicit quality gates

Observability from day one

Production-ready delivery, not just notebook output

FAQ

Do you work solo or with product and engineering teams?Both. I can ship a focused slice alone, or plug into an existing team where architecture, implementation, and production discipline need to move faster.

Do you only help with greenfield projects?No. A lot of my value is on messy existing projects that need stronger architecture, quality measurement, or production hardening.

What makes your angle different?I care less about shiny demos and more about grounded answers, measurable quality, and systems that survive contact with real users.

Need a production-minded AI engineer?

If the project matters enough that quality, delivery discipline, and business impact all need to be real, start with the contact page.

Go to contact →Open CV →