JICs
Support Joint Industry Committee Integration, driving verification of Samsung Ads outputs and adopt trusted market standards.
Trust · comparability · market language

I am Shah — a maker, tinkerer, hacker and ad tech expert with over a decade in ad tech. As an IEEE member, I connect to the maxim “advancing technology for humanity” by building technology that helps organisations create exceptional, engaging and more human experiences for end users.
I turn moonshot thinking into practical products by gathering signals, experimenting quickly and shaping ideas into tools that move advertising and technology forward.
I bring over a decade of experience across engineering, product, machine learning (AI) and ad tech — combining technical depth, commercial focus and people-first leadership to build products that scale, generate revenue and create trusted client outcomes.




Deep technical fluency across systems, data pipelines, automation, AI and rapid prototyping.
Hands-on across DSP, SSP, CTV, DOOH, Identity, contextual, targeting, measurement, supply quality and operational workflows.
Build products with commercial purpose: clearer value propositions, faster decisions and stronger client confidence.
Turn complex technical ideas, data signals and product opportunities into clear narratives that clients, leaders and engineering teams can believe in and act on.
A focus on connected measurement, cleaner reporting workflows and product scoping that moves ideas from discovery to delivery.
Support Joint Industry Committee Integration, driving verification of Samsung Ads outputs and adopt trusted market standards.
Improve the way reporting is accessed, structured and reused so teams and clients can move from manual reporting to in-house scalable reporting intelligence.
Automation · consistency · speed
My role is to help turn scattered signals (ideas and features) into structured product specifications which can be implemented at scale through:
clear workflows, useful outputs, repeatable decisions and stronger commercial narratives.
Simple framing for complex problems.
Prototype quickly, learn quickly, improve quickly.
Make data explainable and defensible.
Build for repeatable use, not one-off effort.
“Make the complex useful, the useful repeatable, and the repeatable valuable.”
Move from analysis to reusable tools and decision systems.
Create shared language between sales, product, data and engineering.
Prepare for agentic, automated and signal-led ad trading.
I work closely with Product Marketing to turn market signals into validated product opportunities, clear specifications and scalable products that keep improving after launch.
We test pilots together, challenge assumptions, simplify the use case and agree what should become a real product.
Advertising will move towards faster, more automated, signal-led decisions where trust and quality become core product features.
Clients will expect platforms to explain what happened, why it happened and what should happen next.
CTV data, ACR, identity, context, supply quality and outcomes need to work together as one operating model.
The goal is a high-trust, high-clarity team that moves in lockstep and builds repeatable value.
I look forward to the next chapter - it is promising as it brings focus, trust and productising the intelligence that makes Samsung Inventory easier to buy, easier to explain, easier to trust, and harder to ignore.