SYS:ONLINE A1-PRO // 間 // PERSONAL DELIVERY CONSOLE MTY.MX · 25.67°N
A1 Alfredo Martínez

theme --select

Yes, you — the one reading this CV. You get to choose the phosphor it renders in. Pick a flavor; it sticks on your next visit.

whoami

Alfredo
Martínez

Monterrey, Nuevo León, MX Delivery & Program Leadership

Technology delivery leader — 20+ years running global engineering programs where quality, schedule, and governance have to hold at the same time.

Delivery leader building AI-native engineering operations — 15 years early to the tools that became standard, now orchestrating agentic workflows with the same governance discipline.

Rendering track

> RENDERING DELIVERY & PROGRAM TRACK > RENDERING AI-NATIVE TRACK

RÉSUMÉ READY
CV loaded: PM AI DELIVERY & PROGRAM TRACK AI-NATIVE TRACK
Download CV — PDF Download CV — PDF
PM TRACK · 2 PAGES · PDF · UPD 2026-07 AI TRACK · 2 PAGES · PDF · UPD 2026-07 VIEW IN BROWSER ↗ VIEW IN BROWSER ↗

projects

PRJ-01 ACTIVE

A1Grail

Collectibles marketplaces treat trading-card and collectibles sellers as an afterthought — poor search, no trust tooling, no domain awareness.

BRIEF

A collectibles marketplace built as a testing ground for AI-first delivery: agentic workflows run project coordination, a virtual workforce handles operational roles, and the MVP (listings → search → payments) was planned with CPM scheduling and a groomed Jira backlog.

A full delivery pipeline — CI/CD, baseline schedule, dependency-linked backlog — operating with a team of one plus orchestrated agents.

  • NestJS
  • Prisma
  • PostgreSQL
  • Expo
  • Meilisearch
  • Valkey
PRJ-02 ACTIVE

A1-SOTA

Test automation frameworks age into vendor lock-in and maintenance debt.

BRIEF

An open-source AI-first testing framework pairing AI test generation with standalone Playwright TypeScript export — zero lock-in by design, verified through procurement-style gate questions before adoption.

A public reference implementation of AI-augmented QA practice.

  • BlinqIO
  • Playwright
  • TypeScript
PRJ-03 DEVELOPMENT

Ikichi いきち

Mid-sized Mexican companies face fast-moving AI regulation (LFPDPPP, 2026 federal AI reforms) with no in-house governance capability.

BRIEF

A productized AI-governance readiness diagnostic — a structured advisory methodology, not bespoke consulting.

W1/W2 delivery kits built; go-to-market gated on engagement-clearance confirmation.

  • AI governance advisory
PRJ-04 FORMATION

Spawn Point A.C.

Kids in Monterrey's colonias populares rarely get early access to English, programming, or AI literacy.

BRIEF

A nonprofit teaching all three using trading card games as the engagement hook, across four learning tracks (Builders, Creators, Strategists, Inventors).

18-month conservative plan selected, Year-1 budget modeled ($300K MXN, sponsor-concentration caps), PMBOK charter in progress.

  • Nonprofit
PRJ-05 ACTIVE

regio.ma

Monterrey's brutalist and industrial spaces, read through the Japanese concept of ma — the charged emptiness between things.

BRIEF

A 9-frame curated grid with a locked Lightroom preset and explicit gate criteria for when black-and-white is permitted.

6 of 9 frames locked; demonstrates that the same gate-criteria discipline applies to creative work.

experience

  1. Independent Technology Program Manager & AI Delivery Consultant Mar 2026 – Present b125d88
    • Running an AI-first delivery practice: A1Grail (marketplace MVP with agent-orchestrated coordination), A1-SOTA (open-source AI testing framework), and Ikichi いきち (AI-governance readiness diagnostic).
    • Full delivery pipeline — CI/CD, baseline schedule, dependency-linked backlog — operated by a team of one plus orchestrated agents.
  2. Oracle Quality Engineering Manager / Program Manager Jan 2025 – Mar 2026 92b1961
    • Zero critical escapes across all managed release cycles; near-100% test asset traceability across Cross-Solutions.
    • ~30% regression-cycle reduction introducing Playwright + AI-assisted workflows.
    • Managed 4 senior engineers; ~30% onboarding reduction via process and documentation.
    • Make-or-buy and cost-benefit analysis standardizing QA/Dev tooling; P0 war-room lead.
  3. TigerConnect QA Engineer III / Feature Delivery Lead Jan 2022 – Nov 2024 77962c1
    • Feature delivery ownership in a healthcare communications platform — phased rollouts and release risk calls where silent failures carry clinical impact.
  4. Inflection Point QA Principal Oct 2013 – Jan 2022 594e65b
    • 8-year engagement: estimation and planning that held across Waterfall QA programs, mobile releases, and Agile artifacts.
    • Zero regulatory defects across 8 years of MFS Compliance.
    • Late-night rollback call (future-feature code bleed) — UAT gate institutionalized.
    • Direct Mail SME: client demos and code review in the same afternoon; Cypress adoption with major validation-time reduction.
  5. Hildebrando Automation Test Lead Jun 2013 – Oct 2013 aacfba6
    • Short automation leadership engagement bridging into the Inflection Point principal role.
  6. Dextra QA Lead (Nokia · Dolby · BAFAMSA) Nov 2011 – Jun 2013 528b53d
    • Introduced Selenium on the Nokia moderation portal (2012) — ahead-of-org tooling adoption; raised team throughput and defect-detection turnaround.
  7. Infosys QA Engineer (Ameriprise · BofA — Excellence Award) Nov 2008 – Nov 2011 5750cea
    • Independent verification & validation for Bank of America; Excellence Award.
  8. Softtek QA Engineer (EMC) Feb 2006 – Nov 2008 1dc069c
    • QA foundation years on the EMC engagement.

skills

  • Program Management
  • Quality Engineering
  • Agile Project Management

Program & delivery

  • PMBOK practice
  • Estimation & planning
  • Scope & risk management
  • Capacity planning
  • Release governance
  • Executive reporting
  • SAFe
  • Scrum

Technical

  • Playwright
  • Selenium
  • Cypress
  • Appium
  • CI/CD (Jenkins, GitHub Actions)
  • API & data validation
  • AWS (S3/Lambda/CloudWatch)
  • OCI
  • SQL

AI

  • Agentic workflow orchestration
  • Multi-agent systems
  • Model evaluation / red-teaming
  • Prompt engineering
  • Claude Code
  • Cursor

Certifications

  • SAFe 6 Practitioner
  • PSM I
  • ISTQB Foundation & Agile
  • CAPM · PMI · in progress
  • AIGP · in progress
  • CPFIA propedéutico · TecNM · 2026

about

People remember me for
raising the uncomfortable question before the release, not during the post-mortem.
The best thing I bring
structure where there wasn't any — quality as a system that holds without me in the room, not an activity someone performs.
Working with others, I generate
clarity under pressure — what's true, what's at risk, who owns the next decision.

What I do exceptionally well

  • I build quality systems that keep working after I leave the room.

    IPS Automation Framework adopted as team-wide standard; near-100% test asset traceability across Oracle Cross-Solutions.

  • I estimate and plan work that holds under change.

    Estimation and planning that held across Waterfall QA programs, mobile releases, and Agile artifacts over the 8-year Inflection Point engagement.

  • I adopt emerging tooling ahead of my organization and drive it to standard — a 15-year pattern.

    Selenium @ Nokia moderation portal (2012) → Cypress @ Direct Mail (~60% validation-time reduction) → Playwright + AI workflows @ Oracle (~30% regression-cycle reduction) → agentic AI orchestration (current).

Problems I specifically solve

  • Defects reaching production in regulated environments.

    Zero regulatory defects across 8 years MFS Compliance; zero critical escapes across all managed Oracle release cycles; BofA IVV.

  • Tool and vendor selection under cost pressure.

    Make-or-buy and cost-benefit analysis standardizing QA/Dev tooling at Oracle; Gate 0 procurement evaluation practice.

  • Release decisions made fast with incomplete information.

    Inflection Point late-night rollback (future-feature code bleed → rollback called → UAT gate institutionalized); Oracle P0 war rooms.

Why people seek me out

  • I translate in both directions — client demo and code review in the same afternoon.

    Direct Mail SME: demos to management, business needs → RTM-traceable requirements, hands-on Cypress/AWS.

  • I raise the level of the people around me.

    Managed 4 senior engineers; ~30% onboarding reduction via process + documentation; Nokia moderation team throughput and defect-detection turnaround.

  • I name the risk before the release, not in the post-mortem.

    The rollback call; VoC advocacy in high-stakes triage; adversarial model evaluation at Outlier.

engage

engage --intro

Let's deliver with confidence and speed.

Start with a 15-minute call — a look at your current process and where AI is entering it. No deck, no pitch: we name the bottleneck and what it would take to hold the next release.

ENG-01 PROJECT

Process automation

Manual, repeated steps in delivery and QA turned into pipelines and agent-run workflows — the same pattern behind a ~30% regression-cycle cut at Oracle.

map one workflow end to end

ENG-02 DIAGNOSTIC

AI governance

A readiness review against fast-moving regulation (LFPDPPP, the 2026 federal AI reforms) — where AI already touches your data and who owns that decision.

AMPHORA readiness diagnostic

ENG-03 RETAINER

Operations consulting

Estimation, release governance and executive reporting that hold under change — quality as a system that keeps working after I leave the room.

review the current plan

book --call 15m BOOK 15 MINUTES EMAIL INSTEAD LINKEDIN
MTY.MX · GMT-6 · EN / ES