I am Mehran Mozaffari. I build and operate applied AI systems that connect models to real workflows, real users, and measurable outcomes.
My work sits at the intersection of:
- Agentic systems and LLM operations: Re-engineering the design-to-production pipeline around autonomous, multi-agent frameworks.
- Voice and telephony automation: Bringing conversational intelligence and latency-sensitive context routing to dialer workflows.
- Workflow orchestration: Closing the loop between models and messaging queues, APIs, and business systems.
- Practical AI product direction: Delivering honest capability assessments and strategy guides for domain-heavy businesses.
I wrote Agentic Sport Analytics as a practitioner’s field guide for the people who bring AI into professional sport: the analysts, coaches, and technologists building automated pipelines from match footage to coaching decisions. The book covers the full stack — capture, calibration, detection, tracking, identity, eventing, modelling, reporting, and the agent harness that glues it together — measured end to end on pickleball and Australian rugby league. Every claim is either measured in the lab or labeled [verify]; nothing is asserted from prestige.
CURRENT SIGNAL LAB
Follow my latest implementation updates, model experiments, and strategic notes live on my primary publication site:
Visit Applied AI Signals
Author Coordinates
Mehran Mozaffari →
Sydney, Australia
Applied AI Systems Builder
“A ball-tracking product page that promises 99% accuracy collides immediately with the book’s own measurement: single-frame detection on the pb-003 fixture produced a median confidence below 0.15. With no conditions and no artifact, a claim cannot be distinguished from marketing — so this book treats it as Tier 4 and never lets it near a coaching sentence.”
Mehran Mozaffari →
Author, Sydney, Australia · Applied AI Systems Builder