01 · Multi-Agent AIApr to Aug 2026
Live in production
Autonomous Content System
Drafts, safety-gates and publishes public content on its own, behind a three-layer fail-closed LLM judge. Live in production about three months after the first commit.
Senior AI EngineerIslamabad, Pakistan (UTC+5)Open to consulting
Seven years shipping production software, now building multi-agent systems, AI evaluation pipelines and LLM integrations with legacy platforms at a leading Southeast Asian personal-finance platform.
Featured explainer71s · captions
Watch the explainer: Autonomous Content System, 71 secondsHow a multi-agent system drafts, safety-gates and publishes unattended, behind a three-layer fail-closed judge. Read the case study
01 / In production
A multi-agent system live in production about three months after the first commit.
Autonomous Content SystemCase study : Autonomous Content System
02 / Platform
A governed workflow-automation platform now hosting dozens of production automations.
AI Paved RoadsCase study : AI Paved Roads
03 / Reliability
A prototype turned into a stable daily tool, every failure mode pinned by a test.
AI Design PlatformCase study : AI Design Platform
01 / Selected work
Thirteen case studies. Each one has a narrated explainer of about a minute, with captions and a full transcript.
01 · Multi-Agent AIApr to Aug 2026
Live in production
Drafts, safety-gates and publishes public content on its own, behind a three-layer fail-closed LLM judge. Live in production about three months after the first commit.
02 · AI for EducationAug 2026
Winner · AI Seekho Builders Day 2026
Dropout-risk early warning for Pakistani girls' schools. Rules score four signals; Gemini explains them and must cite evidence. Winner, AI Seekho Builders Day 2026.
An AI design tool taken from prototype to a stable daily tool, with every discovered failure mode pinned by a real-socket test.
Reconciles claims with banking and insurance partners. Automates the mechanical 90 percent and keeps human judgment explicit.
A governed platform hosting dozens of production automations; agents ship from a template with observability included.
Made campaign profitability queryable. Its additive-only contracts anchor a fulfilment platform and a next-generation campaign system.
The loyalty backbone of a two-market platform: points, cashback rules, a rewards store and the wallet. 200+ merged PRs over 3+ years.
A banking and relocation app: prepaid-card wallet, transfers and a relocation service, across a dozen BLoC feature domains.
A bilingual Arabic and English study-abroad platform, from programme catalogue to a full application.
A Rails JSON API and a Next.js ops console with five-role authorisation and a full audit trail.
Certificate applications for Moroccan farmers in French and Arabic, with on-device PDF and QR verification.
Live campus queues and occupancy, with alerts fanned out in a single FCM publish.
A two-sided marketplace for local functions, with Stripe Connect payouts to hosts.
My current employer's name is kept confidential.
02 / How I can help
Wiring models into legacy platforms is my day job: the Claude SDK inside Rails systems, async job layers for work that outgrows a request timeout, and API contracts other teams can safely build on.
See: Claims Ops Platform
Multi-agent systems where code owns the critical path and models work at the leaves, with fail-closed judges, dry-run and canary modes, kill switches and idempotent side effects.
Evaluation pipelines and LLM-as-judge gates, tracing through Langfuse, and tests that assert real behavior rather than surface indicators.
I lead LLM adoption across departments, and I have trained 6,000+ participants in applied AI through a joint AISkillBridge and HEC programme, plus a 100-student agentic AI cohort.
How to start
Remote from Islamabad, Pakistan (UTC+5). Fluent in English, Urdu and Punjabi.
03 / Endorsements
His ability to quickly understand complex problems and deliver optimal solutions is truly extraordinary. We have successfully developed numerous web and mobile applications together, and his work always exceeds expectations.
The experience with Muhammad was exemplary. From quality of code to transparency, communication and fluently speaking English. I highly recommend Muhammad. Give him a chance to prove his skills and you won't be disappointed.
04 / About

Seven years shipping production software: Islamic-banking software on Oracle Flexcube, Rails APIs, leading a team of Flutter developers, then Rails microservices in consumer fintech, before I moved into AI. Today I build multi-agent LLM applications in production as a Senior AI Engineer.
That background is the point: wiring an LLM into a legacy codebase and keeping it reliable is engineering, not prompting.
05 / Contact
Book an intro call, or write a few lines about what you are building, what is already in production and what is blocking you.