Independent AI consultant
I’m Umer Farooq. I turn document-heavy work, scattered company knowledge, repetitive customer conversations, and disconnected tools into software your team can use every day.
One technical owner from the first workflow review through production delivery.
You do not need to arrive with a technical specification. Start with the process that is slow, expensive, unreliable, or difficult to scale.
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.
Answers are buried across files, policies, reports, and internal tools, so people lose time searching or act on outdated information.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.
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.
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.
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.
These are operating problems, not demonstration projects. Each case study explains the constraint, what I built, and the result.
01
A long-running enterprise engagement that replaced manual data entry with a checked, end-to-end flow from submitted documents to business systems.
02
A production knowledge system that helped authorized users find answers across a very large document collection and see the source behind each answer.
03
A workflow in which specialized AI steps handled research, drafting, checking, and review, with people approving decisions that carried real risk.
04
A production utility that moved large datasets between Google Sheets and PostgreSQL while handling changes, conflicts, and monitoring.
The engagement stays simple. I work directly with the people who understand the process and remain accountable for the technical decisions.
I map the current process, the handoffs, the failure points, and the outcome worth improving.
I deliver the smallest production path that proves value with real data and real users.
The system joins your existing tools, handles important edge cases, and produces evidence for the next investment decision.
“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
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.
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.