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Build and ship
AI engineer
Hire an AI engineer when you have a defined workflow or product to build and need one person to own the technical delivery.
Explore this serviceUmer Farooq / Independent AI engineer & consultant
AI engineer for real work.
I build AI systems that take on document-heavy work, make company knowledge useful, and connect to the tools your team already runs.
Work directly with me from the first workflow review through production delivery.
How I can help.
The right engagement depends on where you are: choosing a useful problem, building the system, or making it work inside your operation.
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Work inside the workflow
Forward deployed engineer
Bring in a forward-deployed AI engineer when the problem lives between teams, data, and business systems, and the requirements will only become clear through real use.
Explore this service03
Decide what to build
AI consultant
Work with an AI consultant when you have several possible use cases, an unreliable prototype, or a workflow whose value and risks need to be understood first.
Explore this serviceSelected work.
Client engagements and portfolio systems that show how I approach real operating problems. Each page explains the constraint, what I built, and the result.
01
Enterprise client engagement
Enterprise document and form automation
A long-running enterprise engagement that replaced manual data entry with a checked, end-to-end flow from submitted documents to business systems.
- $37K+ engagement
- 943 hours
- Thousands of submissions daily
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Production client system
Knowledge search across 500K+ documents
A production knowledge system that helped authorized users find answers across a very large document collection and see the source behind each answer.
- 500K+ documents
- Sub-second answers
- Access-controlled results
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Production-oriented portfolio system
Controlled multi-step AI workflows
A workflow in which specialized AI steps handled research, drafting, checking, and review, with people approving decisions that carried real risk.
- Four-stage workflow
- Human approval points
- Containerized deployment
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Client engagement
Spreadsheet and database automation
A production utility that moved large datasets between Google Sheets and PostgreSQL while handling changes, conflicts, and monitoring.
- About 90% less manual maintenance
- Large-table support
- Health monitoring
What I can take off your team’s plate.
You do not need to arrive with a technical specification. Start with the process that is slow, expensive, unreliable, or difficult to scale.
Turn documents into usable data
Your team spends hours reading submissions, copying fields, checking details, and moving information into other systems.
I build a controlled flow that reads the documents, checks the important fields, and sends clean records where they need to go.
Make company knowledge easier to use
Answers are buried across files, policies, reports, and internal tools, so people lose time searching or act on outdated information.
I build search and question-answering tools that return useful answers with the source attached, while respecting who is allowed to see what.
Handle repetitive customer conversations
The same questions, booking requests, and follow-ups consume the people who should be handling exceptions and higher-value work.
I build AI assistants for chat or voice that keep context, use your business data, connect to existing tools, and hand off to a person when needed.
Connect AI to the systems you already run
A promising AI demo creates more work when it cannot update the CRM, database, spreadsheet, or reporting process behind it.
I connect the AI layer to real operations so information moves without another manual handoff.
Take an AI idea past the demo
The prototype works in a controlled test but becomes unreliable when real users, permissions, edge cases, and business rules appear.
I turn the useful part into production software with checks, human approvals, monitoring, and a clear way to measure whether it is working.
One owner, from problem to production.
The engagement stays simple. I work directly with the people who understand the process and remain accountable for the technical decisions.
- 1.0
Find the costly step.
I map the current process, the handoffs, the failure points, and the outcome worth improving.
- 2.0
Build the useful core.
I deliver the smallest production path that proves value with real data and real users.
- 3.0
Connect and measure.
The system joins your existing tools, handles important edge cases, and produces evidence for the next investment decision.
Client feedback
“Umer was responsive, helpful, and had great insight into what options were available to me. He was eager to get the job done as quickly as possible, saving me both time and money. I just hired him again and I will continue to work with him.”
Andrew Tomka · Repeat client
Research depth, applied to practical work.
My published biometric-security research tested deep-learning methods on 80,000 frames to help face-recognition systems reject photos, videos, and masks used as fake inputs.
- 80,000
- frames evaluated
- IEEE
- published research
- RGB + thermal
- multi-modal inputs
Direct technical ownership.
I work with founders and operating teams that need someone who can understand the business problem and make the technical system work.
My background spans AI agents, company knowledge systems, document automation, Voice AI, full-stack products, and published computer vision research. I prefer the simplest architecture that can produce a reliable result.
Clients work with me directly, from the first process review to the production handoff.
Start a conversation
Tell me where the work gets stuck.
A few sentences about the workflow, the systems involved, and what a useful result would look like are enough. I’ll reply directly.
Prefer email? support@umerfarooq.me