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AVAmin Vahdat, VP and GM ML systems, Google

Top 100 AI · United States

Amin Vahdat

Google United States

Score
6,6750 today
Rank
98/198 =
over 90 days
——

Amin Vahdat is a technology executive leading Google's Machine Learning, Systems, and Cloud AI teams. His work focuses on compute infrastructure, cloud AI platforms, and network systems. Previously, he was a professor at UC San Diego, advising PhD students and directing the Center for Networked Systems.

Data as of Oct 25, 2026.

The raw numbers · last 90 days

Median views
44.5K
per post
Median engagements
574
per post
Posts
11
over 90 days
Followers
44.9K
all scored platforms

What drives the score

Percentiles 0–100 against all tracked creators.

  • Reach · 30%86

    Average views per post over 90 days

  • Engagement · 30%74

    Average reactions per post

  • Audience · 30%54

    Total followers, relative to population

  • Consistency · 10%66

    Posting frequency (25 posts / 90 days = 100)

Platforms

44.9K total followers

PlatformFollowersScore
LinkedIn@vahdat44.9K9,413t1

Last 30 days

Vahdat's top posts

  1. What started as an ambitious pitch has officially reached orbit! We made history alongside our partners at Planet Labs and successfully launched the Project Suncatcher M1 prototype aboard SpaceX's Transporter-18 missi…
    LinkedIn · 23 days ago#1
    AVAmin Vahdat, VP and GM ML systems, GoogleAmin Vahdat

    What started as an ambitious pitch has officially reached orbit! We made history alongside our partners at Planet Labs and successfully launched the Project Suncatcher M1 prototype aboard SpaceX's Transporter-18 missi…

    227.7K views2.6K engagements

  2. LinkedIn · 20 days ago#2
    Have you ever had a teacher change your life? In recognition of World Teachers' Day, I want to take a moment to recognize the incredible teachers in all of our communities. For me, teaching is one of the most importan…
    AVAmin Vahdat, VP and GM ML systems, GoogleAmin Vahdat

    118.7K views1.6K engagements

  3. LinkedIn · 3 days ago#3
    Today, we introduced Agent Compute Engine, a significant reinvention of the agentic compute layer that powers our own internal Gemini agents as well as our external customer agents. Drawing on our years of experience …
    AVAmin Vahdat, VP and GM ML systems, GoogleAmin Vahdat

    94.4K views1.2K engagements

  4. In systems engineering, there’s a fundamental difference between theoretical maximums and physical reality. When operating clusters of 100,000+ accelerators, hardware failures are an everyday inevitability. If a clust…
    LinkedIn · 19 days ago#4
    AVAmin Vahdat, VP and GM ML systems, GoogleAmin Vahdat

    In systems engineering, there’s a fundamental difference between theoretical maximums and physical reality. When operating clusters of 100,000+ accelerators, hardware failures are an everyday inevitability. If a clust…

    21.5K views253 engagements

Head-to-head

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