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$
USD
I will build and deploy production ai agents as your forward deployed engineer
Saqib Mustafa
Level 1
About this gig
Your AI pilot works in a demo but never reaches production? I fix that.
I'm a forward deployed engineer: a senior engineer who works inside your stack and takes an AI agent, integration or automation from idea to a running, monitored deployment.
With 10+ years in DevOps, cloud and AI automation (AWS, Azure, Docker, Kubernetes, Terraform, CI/CD), I handle what prototypes skip: security, monitoring, error handling and deployment.
How it works:
Scope: we define the problem, data and success metric
Build: I develop and integrate in your environment
Deploy: production rollout with logging and alerts
Handover: docs, walkthrough and support window
Typical projects:
- AI agents and assistants on your own data
- CRM and API integrations with LLMs
- Cloud deployment of AI workflows
- Rescuing stalled prototypes
10+ infrastructure projects delivered across AWS and Kubernetes environments
Message me first with your goal and current stack. I reply within 1 hour and take a limited number of projects each week.
Get to know Saqib Mustafa
Saqib Mustafa
DevOps, Cloud and AI Automation Engineer
Level 1
- FromPakistan
- Member sinceMar 2016
- Last delivery4 months
Languages
Urdu, English
I’m a DevOps, Cloud & AI Automation Engineer with 10+ years of experience helping startups, SaaS companies, and growing businesses build, automate, scale, and optimize reliable technology. I specialize in AWS, Azure, Kubernetes, Docker, OpenShift, Terraform, CI/CD, Linux, monitoring, APIs, CRM integrations, and AI workflow automation. I help clients improve cloud infrastructure, automate deployments, integrate business systems, solve complex technical issues, and build secure, scalable, and maintainable solutions designed for long-term growth, performance, and reliability at scale.
My Portfolio
FAQ
What is a forward deployed engineer?
A senior engineer who works inside your environment and owns a project end to end: scoping, building, deploying, and handover. You get one accountable person instead of a hand-off chain.
What do you need to start?
Your goal, the systems involved, where it should run, and any existing code or prototype. Test or limited-access accounts are fine.
Can you work in my cloud account?
Yes, with least-privilege access. I keep secrets out of code, and I can sign an NDA on request.
Which AI models and stack do you use?
OpenAI, Claude, and Gemini, with Python or JavaScript, deployed on AWS, Azure, or Docker-based setups.
What happens after deployment?
Standard includes 14 days of bug fixes and Premium 30 days. After that, I offer hourly or retainer support through a custom offer.
Do you offer ongoing support after the project?
Yes. Standard includes 14 days and Premium 30 days. After that, retainer or hourly support is available through a custom offer.
Can you rescue a stalled prototype?
Yes. The Blueprint package is the right first step. I audit what you have, identify what is blocking production, and give you a clear path forward before any build work starts.
