Hamid Sha, PhD in

Hamid Sha, PhD

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Volunteer in Digital Transformation at Pro Nature City
📍 San Francisco, California, United States

Hamid is the founder and CEO of Value Aligners, an Agentic AI platform simplifying cybersecurity for SMBs. With a PhD and a background in digital transformation, he focuses on making security accessible by helping small teams assess gaps, navigate compliance like GDPR and SOC 2, and select the right tools.

Beyond his own venture, Hamid serves as an AI Cybersecurity Investor and dedicates time to mentoring professionals in business intelligence. He has also volunteered his expertise in digital transformation for Pro Nature City, a non-profit organization focused on environmental initiatives.

He has co-authored a research paper on the specific employee behaviors and organizational factors that lead to successful phishing attacks.

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Experience
13 Years
Current Role
Volunteer in Digital Transformation
Job Level
Leadership
Location
San Francisco, California, United States
Personality Overview

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Communication Style
Decision Approach
Work Preference

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Priorities

Topics Hamid cares about

SMB Cybersecurity
His company, Value Aligners, and his recent posts are entirely focused on solving cybersecurity challenges like ransomware and data breaches for small to medium-sized businesses.
Agentic AI
His professional headline and company description highlight the use of "Agentic AI" as a core technology to guide businesses through complex security decisions.
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Career

Work history

11-2025
Volunteer in Digital Transformation
Pro Nature City
5-2025
AI Cybersecurity Investor
Human Capital Ventures Corp.
7-2024
CEO and Founder
Value Aligners
5-2023 - 8-2024
Digital Transformation Lead
Rakon
4-2022
Business Intelligence Mentor
Future Skills
In the press

Media appearances

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Education
7-2013 - 7-2017
Doctor of Philosophy (PhD)
University of Auckland
2007 - 2010
Master of Information Technology Management
University of Tehran
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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