Building intelligent systems that work in the real world.
MuFaw is an AI engineering studio turning research into production systems with measurable quality, governance, and ownership handoff.
What we deliver
Operator-grade artifacts your team can own.
Every engagement ends with documented systems, evaluation gates, and a clear handoff to operators.
Architecture blueprints
System boundaries, interfaces, and model-flow ownership your team can run.
Evaluation suites
Regression gates, scoring harnesses, and test coverage for releases.
Telemetry
Cost, quality, drift, and reliability signals with alerting.
Runbooks + handoff
Operational playbooks, escalation paths, and ownership transfer.
Research to production loop
A loop that keeps research grounded in reality.
Align early, build fast, validate with evidence, and operate with ownership. Each phase feeds the next.
Align
- Scope, constraints, and success metrics.
- Risk register and governance posture.
Build
- Minimum production slice with guardrails.
- Integration plan and reference build.
Validate
- Evaluation suite and regression gates.
- Latency, cost, and failure budgets.
Operate
- Telemetry dashboards and alerting.
- Runbooks and ownership handoff.
Operating principles
Operator-grade guardrails on every engagement.
We favor reliability, safety, and clarity so teams can ship with confidence.
Reliability over demos
Ship only with fallbacks, tests, and on-call clarity.
Measurable evaluations
Every release has evals, regression gates, and targets.
Safe-by-design routing
Routing respects policy, budgets, and escalation paths.
Observable by default
Traces, metrics, costs, and alerts are built in.
Ownership handoff
Runbooks, dashboards, and controls move to operators.
Minimal complexity
Prefer the smallest system that meets reliability goals.
Leadership
Operator-grade leadership with production ownership.
Detailed bios, focus areas, and execution discipline for every member of the founding team.
Founder
Fawad Khan
Founder, Chairman of the Board & CEO / AI Infrastructure Lead
Leads MuFaw's AI infrastructure strategy, focusing on reliable model deployment, governance, and measurable production delivery.
- AI systems: RAG, agents, CV, deployment
- Research-to-production discipline
- Operator mindset: reliability + ownership
Co-founders
Mursleen Khan
CTO & Co-founder / Full-stack AI Engineer
Builds production-ready AI systems, orchestration tooling, and evaluation pipelines for scalable delivery.
- Full-stack AI engineering leadership
- Orchestration, evaluation, and deployment tooling
- Scalable architecture and systems ownership
Laiba Shahid
Co-founder & Director / AI + Web Full-stack Engineer
Leads product delivery across AI and web workflows with a focus on performance, UX, and resilient systems.
- Product delivery and UX leadership
- AI + web systems integration
- Performance, accessibility, and reliability
Seyad Hamid
Co-founder & Director / AI + Full-stack Engineer
Drives system integration, deployment, and reliability for scalable, production-grade delivery.
- Deployment, integration, and release workflows
- Production reliability and observability
- Scalable delivery across AI platforms
Ready to ship something real?
Start with a scoped delivery plan and measurable quality gates.