Security & AI Advisor

Usman
Chaudhary

17 years at the intersection of engineering, strategy, and security. Advising CISOs and boards on AI-era threats — and building AI systems to explore what's possible when deep domain expertise meets hands-on AI mastery.

I'm a Field CISO and AI Security Executive at Google Cloud, advising Fortune 500 enterprises and federal agencies on AI governance, SecOps transformation, and sovereign AI strategy. Previously at Palo Alto Networks as Business Value Director, and Accenture and KPMG as a strategy consultant.

My background spans deep engineering, management consulting, and enterprise security GTM: MS Electrical Engineering, University of Michigan (research in secure vehicular communications) · MBA, University of Chicago Booth (Dean's Honor List) · 9 years at Ericsson architecting hybrid cloud and IoT security infrastructure.

I speak at Billington CyberSecurity, GovExec, and enterprise security forums. I write on AI-era threats and what it means to build genuinely AI-native security programs. In 2026, I started building AI agents — exploring AI applications across every field of life.

Usman Chaudhary
ROLEField CISO, Google Cloud
LOCATIONWashington DC Area
EDUCATIONBooth MBA · Michigan MS EE
EXPERIENCE

Career

Google Cloud
2022 – Present
Field CISO & Strategic Growth Executive
Trusted advisor to CISOs and C-suite across Fortune 500 and federal agencies on AI-era threat posture, SecOps modernization, and sovereign AI strategy. Speaker at Billington CyberSecurity and GovExec. Developed Legacy SOC Displacement framework and AI security training for 300+ sales reps globally.
Palo Alto Networks
2021 – 2022
Business Value Director
Engineered commercial frameworks resulting in the two largest contracts in company history. Advised Fortune 500 boards on cybersecurity and digital transformation investment decisions.
Accenture
2019 – 2021
Business Strategy Manager
Multi-year digital transformation strategies for Fortune 500 across media, telecom, and technology. Built joint B2B GTM strategy for a SaaS IoT product identifying enterprise AI and edge computing market trends.
KPMG
2017 – 2019
Senior Strategy Consultant
Performance improvement and GTM strategy for healthcare and industrial clients. Dealer profitability model for a Global Automotive OEM resulting in multi-million dollar implementation.
Ericsson
2008 – 2017
Technical Product Manager / Product Architect
9 years leading hybrid cloud and NFV architecture for major Tier-1 US telecom. Established client's IoT Innovation Lab and produced 6-year infrastructure security forecast.
AI Builder

Building AI agents

Exploring AI applications across every field of life — finance, security, family, content, real estate. One project per month, everything documented and shipped.


Month 1 of 7 — Chief of Staff Agent — Live now
01MAY
2026
AI Chief of Staff
Reads Gmail and Google Calendar, prioritizes the day, and drafts email replies — powered by Claude API. Built in 3 days from zero. First agent in a planned fleet of 10 that will run every domain of life.
Claude APIGmail APIGoogle CalendarOAuth 2.0PythonStreamlit
02JUN
2026
AI Content Engine
Agent that turns project notes and learnings into LinkedIn posts, blog articles, and newsletters. Eliminates the content creation bottleneck.
LangChainClaude APIGeminiAutomation
COMING
03JUL
2026
Quant Finance Intelligence
LLM reads earnings call transcripts, extracts structured signals, generates investment intelligence. RAG on financial documents, backtested against price movement.
LlamaIndexRAGEmbeddingsGoogle Colab
COMING
04AUG
2026
Local Model Lab — Private AI
Fully private RAG system running on local hardware. No data leaves the machine. Explores SLMs, quantization, and on-device AI for enterprise security use cases.
OllamaLlama 3MistralGGUF / QLoRA
COMING
05SEP
2026
Trading Signal System + Fine-tuning
Domain-specific fine-tuning on financial data. LoRA/QLoRA on consumer hardware. Eval framework to measure whether fine-tuned models beat baseline prompting.
HuggingFaceLoRAEvalsBacktesting
COMING
06OCT
2026
Physical AI + Robotics Security
LLM connected to a robotics simulator. Exploring the security implications of physical AI systems — an emerging field with almost no dedicated security practitioners.
ROS SimulatorPythonPhysical AI
COMING
ROADMAP

7-month journey

May
Agent Architecture
APIs, OAuth, Gmail, Calendar
● NOW
Jun
Content Engine
LangChain, automation
Jul
Quant Finance
RAG, embeddings
Aug
Local Models
Ollama, SLMs
Sep
Fine-tuning
LoRA, evals
Oct
Physical AI
Robotics security
Nov–Dec
Open Source
Contributions
Writing

AI, Security & Ideas

Original analysis on AI-era threats, autonomous attack surfaces, and what it means to build genuinely AI-native security programs.

Perspectives

Policy, Economics & Social Good

Long-form analysis on technology's impact on emerging economies, energy transitions, and social systems. Data-driven, independently written, intentionally contrarian where the evidence demands it.

Energy · Economics · Pakistan
Running on Sun: How Pakistan's Consumer Revolution Could Break the Oil Trap Forever
Pakistan has accidentally launched one of the fastest energy transitions in the developing world — entirely without government planning. 27–33 GW of consumer-deployed solar, $12B already saved in oil imports, and a credible path to energy sovereignty by 2040. A data-driven analysis with full source citations.
APR 2026 Read ↗
Connect

Let's connect

Security executive, AI builder, and independent researcher — exploring what happens when deep domain expertise meets hands-on AI mastery.

Particularly interested in conversations around enterprise AI security, agentic AI risk, agent orchestration architecture, and the emerging intersection of physical robotics and AI security.

If you're building in these spaces, advising enterprises on AI adoption, or just want to compare notes on what you're seeing in the field — reach out.