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Fiverr Pro
English
$
USD
I will be your fractional forward deployed engineer and ship it live
Sami MLOps
Level 2
About this gig
A Forward Deployed Engineer is the person companies embed with a client to turn vague requirements into working, deployed software fast. That is exactly what I do here.
Most freelancers need a perfect spec. I don't. Bring me a problem ("our team wastes hours on X", "we need AI in our product but don't know where"), and I handle the rest: discovery, scoping, architecture, build, deployment, and handover.
WHAT I DELIVER
- AI/LLM integrations, agents & RAG pipelines (OpenAI, Anthropic, open-source)
- Custom internal tools & automations
- MVPs deployed to production, not just repos
- Clear docs + a Loom walkthrough so your team owns it
WHY ME
- Top Rated on Upwork, Level 2 on Fiverr
- I work like an embedded engineer: daily updates, demos, iteration not a black box
- Production mindset: auth, error handling, monitoring included
HOW IT WORKS
- Discovery call I map your real problem
- Scoping doc fixed deliverables, no surprises
- Build in sprints with live demos
- Deploy, document, hand over
Message me before ordering so I can confirm fit and scope.
Get to know Sami MLOps
Sami MLOps
MLOps Engineer: MLflow, DVC, Airflow and Kubernetes Specialist
Level 2
- FromPakistan
- Member sinceNov 2023
- Avg. response time1 hour
- Last delivery1 month
Languages
Urdu, Pashto, English
I help startups and ML teams build production-ready MLOps pipelines: experiment tracking with MLflow, data and model versioning with DVC, and orchestration with Airflow, deployed on AWS, GCP, or Azure. I also fix broken ML pipelines suffering from data drift or failed deployments, and build CI/CD pipelines using Docker and Kubernetes. 10+ completed projects for clients across the US, Canada, and Europe. M.Sc. Software Engineering, FAST-NUCES. Also skilled in Python automation and REST APIs.
My Portfolio
FAQ
Q: What exactly is a Forward Deployed Engineer?
A: An engineer who embeds with your team, takes a fuzzy business problem, and ships a working solution — combining consulting, engineering, and deployment in one person. It's the role made famous by Palantir and now used by top AI companies.
Q: I don't have a spec or technical background. Is that a problem?
A: That's the point of an FDE. The Basic package exists precisely to turn your problem into a concrete plan.
Q: Do you work with my existing codebase/team?
A: Yes — embedded work is the default. I can work in your repo, your Slack, your standups.
Q: What stacks do you use?
A: [FILL IN: e.g., Python, TypeScript, React, FastAPI, Postgres, OpenAI/Anthropic APIs, LangChain, AWS/GCP]
Q: Can you sign an NDA?
A: Yes, happy to.
Q: Why should I buy Basic first instead of Standard?
A: If your requirements are clear, go Standard. If they're fuzzy, Basic de-risks everything: you get a fixed quote and plan before committing to a build.
