Hi, I'm Adnan Qureshi - Technical Program Manager - Cloud Infrastructure & AI at Google
I thrive on architecting and launching large-scale technical products, translating complex challenges into globally impactful solutions. My passion lies in driving innovation and velocity at massive scale, especially within AI/ML infrastructure and consumer platforms. I excel where engineering meets product vision.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led the launch of ARCore to 1.6 billion Android devices.
Orchestrating high-stakes NPI software rollouts for Google Cloud Storage, aligning 40+ teams.
Can provide strategic guidance on launching complex AI/ML products at scale.
🚀 Career trajectory
Foundational Engineering & Project Management
Began career at Microsoft and Amazon, honing technical project management skills on diverse initiatives.
✦ Microsoft
✦ Amazon
✦ Project Management
Consumer Electronics & AR Pioneer
Transitioned to Google, focusing on large-scale consumer product launches, including ARCore and Google Glass.
✦ ARCore
✦ Consumer Electronics
Cloud Infrastructure & AI Innovator
Currently driving advancements in Google Cloud's AI/ML infrastructure and large-scale distributed systems.
✦ Google Cloud
✦ AI/ML
✦ Distributed Systems
💪🏻 Superpowers
AI Infrastructure Orchestrator
Driving cutting-edge AI/ML deployments on global cloud platforms.
Orchestrating high-stakes NPI software rollouts for Google Cloud Storage.
Aligning 40+ cross-functional teams for seamless deployment across millions of machines.
Optimizing OSS models (GPT, Qwen3) for TPU efficiency via Platform Aware AutoML.
Consumer-Scale Platform Leader
Scaling products to reach billions of users and fostering ecosystem growth.
Led the launch of ARCore to 1.6 billion Android devices.
Managed explosive growth of Alexa Skills ecosystem, from 1,000 to 10,000+ skills.
Orchestrated end-to-end releases for ubiquitous consumer electronics.
Bridge Between Engineering & Product
Translating technical ambiguity into shipped products.
Leveraging software engineering background to connect research, hardware, and product teams.
Developing resilient processes to empower engineering teams and accelerate velocity.
Ensuring reliability without sacrificing speed in complex technical environments.
I'm excited about
Connecting with leaders in AI infrastructure and large-scale distributed systems.
Exploring opportunities to shape the future of cloud-native AI development.
Discovering emerging trends and collaborations in AR and immersive technologies.
I can help with
Provide strategic guidance on launching complex AI/ML products at scale.
Share best practices for managing global NPI and hardware rollouts.
Offer insights into building resilient processes for fast-paced engineering teams.
I would love your help on
Connecting with experts in novel AI hardware acceleration.
Identifying potential collaborators for open-source AI model optimization projects.
Gaining perspectives on the future landscape of augmented reality platforms.