Mujtaba S.

I build AI agents, automations, and full-stack AI products with Claude and OpenAI. Some clients want their team to stop typing call notes into the CRM or copying data out of PDFs. Others need AI built properly into their product. I do both and I ship systems that are still running in production months later, not demos.

INDUSTRIES: healthcare, fintech, compliance, sales & marketing, SaaS

RECENT WORK

• AI document search with cited answers: used by 135+ users across 19+ organizations, 1,682+ documents indexed, 83.8% query success rate
• Healthcare voice AI intake: handles call qualification and CRM logging, 150+ call records processed, 28+ inbound admissions leads tracked
• AI sales CRM: call transcription, lead scoring, and pipeline automation, $99,500+ in tracked revenue across 32 closed transactions
• AI ad studio: scripts, images, and video for multiple brands, 514 image frames and 486 videos generated monthly across 7 brand profiles
• AI social research tool: analyzes competitor content and builds a content plan, 14,200+ posts analyzed across 5 platforms
• Finance operations platform: dashboards, reporting, and reconciliation across 8 accounting and banking integrations

A LITTLE ABOUT ME

I'm easy to work with, and my clients tend to agree. What they mention most in reviews is clear communication and fast delivery, and several have hired me again for their next project. Some of the teams I work with today have been with me since the start of the year.

I work with remote teams in different time zones and keep my hours flexible, so we always have overlap for calls and quick decisions.

HOW I BUILD: SCOPE, SHIP, PROVE, HANDOFF

• Scope honestly: I'll tell you early if something isn't worth automating, even if that means a smaller project
• Ship small: the first version does one job well and is tested on your real cases, not a sandbox demo
• Prove it: important actions wait for a person's approval until the system has earned your trust
• Handoff clean: clear scope, regular updates, and documentation your team can actually use after I'm gone

Worried this breaks the first time your data looks different than expected? That's exactly what the "prove it" step is for; nothing runs unsupervised until it's handled your edge cases. And if no one on your team is technical, the handoff docs are written so a non-engineer can see what the system does and why.