I build AI systems that are secure by architecture, not by patch — and I'm applying that principle to the biggest unsolved problem in healthcare AI: what happens when it touches patient data and gets it wrong.
PhD, AI & Cybersecurity · Cisco, Worldwide Cloud & AI Infrastructure Sales · 18 Years Across Telecom, Financial Services, Retail & Healthcare
"We know exactly what our EHR does when it fails. We have no idea what our AI does when it fails — because it hasn't failed loudly enough yet." A hospital CIO, in conversation
That sentence is the reason this site exists.
I didn't start in healthcare. I started in telecom, staring at a harder version of the same problem — four of the largest carriers in the US, all fighting networks that retrained themselves on new traffic and attack patterns faster than any human team could monitor. I architected the Cyber Security Intelligence Solution that gave AT&T, Verizon, Comcast, and T-Mobile a way to catch threats inside that moving target. It opened roughly $40M in new business. The number I actually care about is different: it proved that security bolted onto AI after deployment always loses to security built into the architecture from day one.
I call that principle Secure by Architecture, Not by Patch — it's the lens I now put on every AI system I touch, and the thesis of my PhD.
Secure by Architecture, Not by PatchI finished a PhD in AI & Cybersecurity in 2025 because I kept running into a version of that CIO's sentence in every regulated industry I've worked in. Healthcare is where it's loudest. Health systems are deploying generative AI into clinical workflows faster than governance frameworks can keep up — HIPAA wasn't written for an autonomous agent making a clinical judgment call on PHI in three seconds. That gap is where I now spend most of my reading, writing, and advisory conversations.
Today I lead Cisco's Worldwide Cloud & AI Infrastructure Sales organization, working with CXOs and architecture teams to design AI infrastructure — Cisco UCS X-Series, NVIDIA integrations, Cisco's Secure AI Factory framework — that's governable from the first line of code, not retrofitted after an incident report.
The thesis behind a $40M telecom deployment, a PhD dissertation, and every healthcare AI conversation I'm in now.
An AI system is built, tested, and shipped. Security is added afterward. Vulnerabilities are found by attackers first, patched by vendors second.
AI agents touching PHI move faster than a patch cycle. A single ungoverned model decision can have direct clinical consequences — not just a data breach.
Auditability and threat detection are built in from the first architecture review. This is the model behind the $40M telecom deployment — and the one I now bring to every healthcare AI conversation.
Drive Cisco's worldwide AI infrastructure sales motion across a $500M scope, advising CXOs on secure AI architecture for regulated industries, including healthcare. Anchor deployments in Cisco's Secure AI Factory framework on UCS X-Series and NVIDIA integrations.
Grew AI-driven business by $20M+ annually across AT&T, Verizon, and Dish. Delivered the Cisco Live keynote, "Harnessing AI for Next-Gen Network & Services Observability." Won the Technical Leader Award and "Dedication to Innovation" recognition.
Architected the Cyber Security Intelligence Solution — the origin of "Secure by Architecture, Not by Patch" — opening $40M in opportunity across AT&T, Verizon, Comcast, and T-Mobile. Incubated Healthcare, BFSI, and Utility AI use cases from zero. Filed multiple patents on customer network transformation.
Designed the AI-based smart estate platform behind Singapore's Jurong Innovation District. Work later published internationally as a whitepaper on Digital Twin and Smart City design. Won the Worldwide TSIA Star Service Excellence Award (2018).
Built the ML-based HP Shopping Business Platform, driving a $156.9M annualized revenue increase. Set up and ran a 40-person data science delivery hub in Bangalore.
Built the data infrastructure behind four McKinsey analytical products, including Clinical Trial Investigation.
Built a default-prediction model that improved compliance and cut risk exposure across the portfolio; designed the customer churn model still shaping retention strategy.
This section is placeholder-safe by design — precise citations replace the bracketed notes below before the site goes live. See "Connect" for how to reach me about any of this work directly.
PhD, AI & Cybersecurity — [Insert institution], 2025. Focused on architecture-first AI security. Deserves a dedicated abstract and, ideally, its own page — this is the single most important credibility asset on the site.
Add before publishingInternational publication based on the AI-based smart estate platform designed for Singapore's Jurong Innovation District. [Insert publisher/journal name and link.]
Add publisher & linkCisco Live keynote. [Insert link to recording or slides — currently the highest-value dormant asset on this site.]
Add recording linkMultiple patents filed during tenure as Lead Data Scientist & Architect, Cisco (2019–2022). [Insert patent numbers/titles from USPTO or Cisco's internal filing records.]
Add patent numbersA planned original essay, published on this site rather than only on LinkedIn — the anchor artifact that's fully original and directly supports the healthcare positioning while the citations above are finalized.
Not yet written[Insert institution name], 2025
Undergraduate or master's degree not yet included in source material.
Add before publishingAI Security & Governance · Healthcare AI Governance & Compliance · HIPAA-Aligned AI Architecture · Cybersecurity Intelligence Solutions · Secure AI Infrastructure Architecture
Generative AI (GenAI) · Large Language Models (LLM) · Retrieval-Augmented Generation (RAG) · Machine Learning · Deep Learning · Vector Databases · Mathematical Modeling · Data Modeling for AI
AI Infrastructure (NVIDIA, Cisco UCS X-Series) · Cloud AI Workloads (AWS, Azure) · ML Ops · Data Engineering · AI Solution Architecture
Executive & CXO Advisory · Enterprise AI Adoption Strategy · GTM & Pre-Sales Strategy · Technical Team Building & Mentoring · Data Science Leadership · Patents & AI Innovation · Smart City / IoT AI Applications · Account Management
If you're a health system CISO, CIO, or board member working on secure, governed AI in clinical settings, I'd like to hear how you're thinking about it.