Delfin Reyes
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AI consultant & builder

I build AI systems, end to end.

After two decades delivering large technology programs in banking and insurance, I spent the 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 work I bring to teams.

NVIDIA-Certified Professional — Agentic AI & Generative AI

swarm.learningnemo.com
LearningNemo live operations dashboard
LearningNemo — explore the live dashboard
1
human on the project
7 mo
concept to delivery
35
modules shipped
>85%
test coverage, CI-enforced

01 — The work speaks

Built, not just discussed.

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. It isn't perfect, and building it taught me what shipping AI really takes: clear architecture, honest trade-offs, and relentless verification. That's the experience I bring to your work.

02 — What I do

01

Strategy, grounded in delivery

I help you decide what to build and why — informed by having actually built it, not by slideware. Clear scope, real trade-offs, a path to production.

02

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.

03

Enterprise-grade by default

Security, compliance, governance, and reliability from a career in banking and insurance — 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:

01

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.

02

A gated delivery lifecycle

Every unit of work moves through architecture → spec → build → review → merge, each stage gated by the next.

03

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.

04

Nothing changes silently

Decisions, changes, issues, and root-cause analyses are all documented and cross-referenced.

05

Tested and gated

>85% coverage enforced in CI, plus deep end-to-end testing — verified on real hardware before anything ships.

04 — Selected work

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.

35
modules
14
categories
>85%
test coverage
~97
logged decisions
~137
changelog increments
400+
test suites
GitHub — repository statistics (private)

05 — Experience

Recent

2025 – Present

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.

2021 – 2024

Digital Asset Research & Investing

Independent

Independent research and capital allocation across digital assets — blockchain fundamentals, token economics, and macro analysis.

Foundation

Two decades of program leadership in banking, insurance, and financial information — the execution discipline behind the AI work.

2017 – 2020

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.

2016 – 2017

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).

2014 – 2016

Lead Program Manager — Hybrid Cloud

McGraw Hill Financial

Delivered a multimillion-dollar hybrid-cloud self-service platform across five businesses (VMware vRealize, automation, vBlock).

2008 – 2014

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.