Hi, I'm ANGAD ARORA - Hardware Intelligence Data Science - Google Data Center at Google
I am driven by the challenge of making physical infrastructure smarter through data. I thrive at the intersection of hardware telemetry and advanced analytics, working where complex systems meet operational scale.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Managed quality data analysis and experimentation across multiple high-stakes product lifecycles at Apple.
Leads data science initiatives for physical infrastructure and hardware intelligence within global data center operations.
Can provide expert guidance on scaling data-driven experimentation and bridging software-hardware silos in engineering teams.
🚀 Career trajectory
Foundational Quality Engineering
Established analytical rigor within high-volume manufacturing environments to optimize product quality and process consistency.
✦ Quality Data Analysis
✦ Manufacturing Operations
Scaling Personalization Research
Transitioned into large-scale user-facing personalization, leveraging experimentation to refine Apple's research-based product devices.
✦ Personalization
✦ Research Science
Hyperscale Hardware Intelligence
Currently spearheading data science efforts for Google Data Center infrastructure, focusing on the intelligence layer for physical hardware.
✦ Data Center Ops
✦ Hardware Intelligence
💪🏻 Superpowers
Hardware-Centric Data Engineering
Architecting intelligence layers for physical systems
Develop predictive models for complex hardware telemetry streams
Bridge the gap between data science and physical infrastructure design
Implement data-driven strategies to improve manufacturing yield and reliability
Product-Led Analytical Strategy
Driving technical roadmaps with evidence-based insights
Align data science initiatives with complex product hardware life cycles
Translate technical research findings into scalable engineering processes
Balance experimental speed with long-term infrastructure stability
Large-Scale Experimentation
Optimizing personalization and performance at scale
Design rigorous A/B testing frameworks for personalization algorithms
Scale data-driven experimentation to enterprise-level hardware environments
Iterate on research devices to accelerate rapid product development cycles
I'm excited about
Exploring new paradigms in autonomous hardware management and predictive maintenance.
Connecting with technical leaders to discuss the future of AI-integrated data centers.
Sharing insights on scaling data science teams within complex, hardware-driven organizations.
I can help with
Advising on the transition from traditional data science to hardware-integrated roles.
Mentoring on designing scalable A/B experimentation frameworks for technical products.
Consulting on data infrastructure requirements for high-stakes manufacturing environments.
I would love your help on
Identifying cross-industry applications for advanced data center telemetry models.
Finding new perspectives on managing hardware-software dependencies in large-scale deployments.
Connecting with peers building next-generation hardware-intelligence infrastructure.