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.