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02 · Note 04 — Resume Rewrite Plan

Status: Outline. Body fills in Week 1. Voice: principal-level, BFSI-threaded, Apic-calibrated.

What this file is. The section-by-section plan to transform the current GCP-tailored resume into an Apic Applied AI Architect resume. The plan, not the resume itself (the .docx lives outside the repo).

What this file is NOT. A generic resume guide. Not advice on bullet structure. Not LinkedIn optimization.

Why a rewrite, not a tweak

The current resume is calibrated for a GCP Solutions-Architect lens — cloud-first, infrastructure-leaning, breadth-tilted. The Apic Applied AI Architect role is depth-tilted, customer-embedded, eval-and-safety-first, and anti-generic-AI-passion. Three differences make a tweak insufficient:

  1. Headline shape: "Cloud SA" → "Customer-Embedded AI Architect / FDE." Different identity.
  2. Bullet calibration: outcome-first cloud bullets read as marketing in an Apic context. Bullets need to be problem → constraint → choice → outcome, with the constraint visible.
  3. Mission signal density: the Apic resume needs operational evidence of safety/governance/eval-driven delivery in every role, not just the most recent.

Section-by-section plan

Section 1 — Headline + summary

  • Old: "Senior AI Solutions Architect with deep expertise in GCP / Vertex AI…"
  • New (target): "Customer-embedded AI architect for regulated enterprise. Eval-framework-led delivery. ~3 years building Forward Deployed Engineering practices for BFSI, healthcare, retail; recent work on HIPAA-aligned multi-agent platforms with Claude."
  • Why: The role wants depth + customer + eval + regulated. The summary should land four of those four signals in one sentence.

Section 2 — Experience bullets

Each bullet rewritten to problem → constraint → choice → outcome. The constraint must be visible.

  • Old (outcome-led): "Improved customer support resolution time 35%."
  • New (problem-led): "Architected support-agent assist copilot with policy-compliance overlay; the bind was RBI-grade auditability + 95th-percentile <2s latency. Chose Claude tool-use loop with eval-gated rollout (shadow → assist). Resolution time down 35% at zero CISO escalation."

The outcome stays, but it's the fourth data point, not the first.

Section 3 — Apic-specific anchors

A short "Recent Apic-relevant work" subsection, surfacing:

  • HIPAA-aligned governance work
  • SHAP / responsible-AI artifact
  • Eval-framework design for at least one customer
  • Regulated-workload rollout patterns (shadow → assist → autonomous)

Each as one bullet, each with the constraint visible.

Section 4 — Skills / tools

  • Drop: generic cloud certifications, breadth lists.
  • Keep: Claude / Apic SDK, eval frameworks (RAGAs-style, LLM-as-judge), MCP, LangGraph (only if used in production), regulatory frameworks (HIPAA, DPDPA, RBI guidelines).
  • Why: the skill list is a credibility signal, not a search-engine input. Breadth dilutes; specificity compounds.

Section 5 — Education + credentials

Minimal. One line each. No course-list inflation.

Section 6 — Public artifacts (NEW section)

A 2-line block at the bottom pointing to:

  • The Claude API artifact (Module 04 deliverable, GitHub).
  • This course site (learnapic.sunmintz.com) — if you decide to make it semi-public.

Calibration rules

Rule 1 — One page or two

Two pages is fine for ~10+ years of experience, but the second page cannot be filler. If the second page is just a long skills list, cut it.

Rule 2 — No "passionate about AI safety"

Anywhere. Not in summary, not in skills, not in interests. Mission alignment lands through what you did, not what you care about.

Rule 3 — Every role gets one safety/governance bullet

Even pre-AI roles can carry this signal — "introduced production readiness review gates for ML model deployments" counts.

Rule 4 — Numbers without units are noise

"35% improvement" without "of what, against what baseline" is filler. Either include the unit or cut the bullet.

Rule 5 — The first bullet of each role is the highest-stakes choice you made

Not the longest-running responsibility. The choice with the most thinking behind it.

Bullet rewrite worksheet (template)

For each existing bullet, run it through this template:

Original bullet:
________________________________________________________________

The customer (1 phrase):
________________________________________________________________

The constraint that bit (1 phrase):
________________________________________________________________

The architectural choice (1 phrase):
________________________________________________________________

The trade-off you accepted (1 phrase):
________________________________________________________________

The outcome (1 phrase, with unit + baseline):
________________________________________________________________

Rewritten bullet (one line):
________________________________________________________________

Run every bullet through this. Discard bullets that can't fill 4 of the 5 slots above; they're filler.

Output

A .docx resume kept locally (not in this repo). Module 02 closes when the .docx exists, has been read aloud once for tone, and a non-Apic friend can read it in 90 seconds and describe the candidate's career arc back to you in 1 sentence.

→ Application trigger checklist item #1 closes here.

Cross-references

Strong-Hire bar for this file

  • Resume passes the "constraint-visible" test: every experience bullet names the constraint that bit.
  • Headline lands 4 signals in 1 sentence: depth + customer + eval + regulated.
  • No mission-paraphrase phrases anywhere.
  • Public Artifacts section points to the Claude API artifact (or notes it as pending).
  • Friend-readback test passed: 90-second read, arc summarized in 1 sentence.