AI consultant & builder
I architect, build, and manage agentic AI systems, end to end.
Over 10 years delivering and managing cloud infrastructure programs — and this past year, building LearningNemo, an agentic AI platform, as its only human. A steep, hands-on journey into what it really takes to ship AI. That's the experience I bring to teams. Using AI to build AI.
NVIDIA-Certified Professional — Agentic AI & Generative AI
01 — The work speaks
Engineered to deliver excellence.
I'd rather show than tell — so I built one.
LearningNemo is a 35-module agentic platform I designed and delivered over seven months, as the only human on the project, with AI agents as the team. Currently, the swarm delivers deep medical research reports to support advancement in the medical field. Building it has taught me what shipping AI really takes: clear architecture, honest trade-offs, and relentless verification.
What it does
- A CEO agent that plans, decides, and coordinates a team of specialists
- A 6-node reasoning loop: plan → meta-critique → execute → reflect → synthesize → safety gate
- Long-term memory and production retrieval (RAG) over real sources
- An analyst panel that debates and verifies evidence before it ships
- Evaluation, safety guardrails, and a tamper-evident audit trail
- Multimodal generation, charts, and real-time voice
- Self-improvement — training and evaluation loops
- A real-time operator dashboard, and a deep-research report pipeline
02 — What I do
Strategy, grounded in delivery
I help you decide what to build and why — clear scope, real trade-offs, and a realistic path to production.
Hands-on implementation
I design and ship the system itself: agentic architectures, retrieval, evaluation, guardrails, and observability — end to end, in production, not a prototype.
Enterprise-grade by default
Security, compliance, governance, and reliability built in — so your AI holds up to real scrutiny and real load.
03 — How I deliver
Execution discipline that ships.
Shipping enterprise AI takes more than models — it takes execution discipline. This is how I deliver systems that hold up:
Architecture as the single source of truth
One canonical specification defines every component and its contracts — so a large system stays coherent end to end.
A gated delivery lifecycle
Every unit of work moves through architecture → spec → build → review → merge, each stage gated by the next.
Verify everything
Explicit review discipline, a living lessons-learned registry, and a hard rule: no silent fallback — a quietly degraded result is a failure, not a pass.
Nothing changes silently
Decisions, changes, issues, and root-cause analyses are all documented and cross-referenced.
Tested and gated
>85% coverage enforced in CI, plus deep end-to-end testing — verified on real hardware before anything ships.
04 — Selected work
LearningNemo
learningnemo.com →A CEO-led agentic AI research swarm: a reasoning CEO agent plans, decomposes work across specialist agents, checks its own work, and produces a governed deliverable — built NVIDIA-tool-first as a reusable, pluggable platform. Designed, built, and shipped solo.
Its first product — deep medical research reports — is launching soon.
05 — Experience
Recent
AI Architect & Builder
LearningNemo (independent)
Designed and delivered a 35-module agentic AI platform end to end — strategy, architecture, and implementation — with AI agents as the build team. Sole human contributor.
Digital Asset Research & Investing
Independent
Independent research and capital allocation across digital assets — blockchain fundamentals, token economics, and macro analysis.
Foundation
Product and program management leadership in banking, insurance, and financial information — the execution discipline behind the AI work.
Cloud Security Product / Program Manager
Northwestern Mutual
Built structure, process, and reporting for AWS cloud-security features; led ceremonies and PI planning; reported to VP executives.
Public Cloud Product Manager
TD Bank Group
Led a multimillion-dollar AWS/Azure initiative and 12 resources; ran cloud contract negotiations across Legal, Compliance, Privacy, Cyber Risk, and Audit (US + GDPR).
Lead Program Manager — Hybrid Cloud
McGraw Hill Financial
Delivered a multimillion-dollar hybrid-cloud self-service platform across five businesses (VMware vRealize, automation, vBlock).
Program / Sr. Project Manager
NYK Line · Port Authority of NY & NJ · PGW · others
Led large-scale data-center migrations, consolidations, and a corporate divestiture — including a $17M migration (with IBM/TCS) and a $15M IT separation that cut TCO 32%.
06 — Credentials
Certifications
NVIDIA-Certified Professional — verified on Credly.
Previously certified: PMP · PMI-ACP · CCSP · CCSK · AWS Solutions Architect · ITIL
Education
- Master of Engineering, Electrical Engineering — Rensselaer Polytechnic Institute (RPI)
- B.S., Electrical Engineering — RPI
- Graduate coursework in business strategy & finance
07 — Contact
Let's build something few others can.
If you're serious about moving AI from ambition to a delivered, enterprise-grade system, let's talk.