Reviewing layout and content options. Each style has multiple content versions — try them and compare.
Works best on desktop for side-by-side viewing.
Style 1
Current Reference
Exact reproduction of current CV. Baseline for comparison. Arial, centered header, navy.
ArialNavy #1F4E79Centered
Baseline — functional but generic
Style 2
Precision Sans
Primary recommendation for IC/Staff/Principal track. Inter, left-border headers, metric callout block, skills grid.
InterNavy #1F4E79Left-border headersMetric block
★ Recommended primary (IC/Staff)
Style 3
Executive Brief
Recommended for Head of AI / leadership track. Libre Baskerville serif headers, bordered impact box, more whitespace.
Libre Baskerville + Source Sans 3Deep navy #1a2744Impact box
★ Recommended for leadership track
Style 4
Research-Production
Publications elevated near top. EB Garamond headers, small-caps sections. Scholar-builder framing for AI lab / research roles.
EB Garamond + LatoTeal #1a5f6ePubs elevated
AI lab / research scientist target
Style 5
Jake-Minimal
Zero color. Palatino serif. Name left + contact right in two-column header. Maximum whitespace. LaTeX-adjacent feel.
PalatinoBlack/white onlyNo decoration
Anthropic / DeepMind / pure research
Style 6
Roboto Tech
Roboto throughout. Charcoal accent. Short decorative rule under name. Material Design feel.
RobotoCharcoal #1e293bShort accent rule
Google / Meta / large tech targets
Style 7
Garamond Full Body
EB Garamond for headers AND body text. Demonstrates elegance vs. legibility tradeoff at CV body sizes.
EB Garamond (all)Deep navy #1a2744Demo only
⚠ Demonstration only — use headers only (see Style 3 or 4)
Style 8
DM Sans Compact
DM Sans — geometric, less corporate. Two-column header. Deep teal. Tighter spacing. Startup / fintech / product company feel.
DM SansTeal #0d5f6eTwo-column header
Fintech / startup / Series B+ targets
Style 9
Burgundy Accent
Visually identical to Style 2. Only change: deep burgundy replaces all navy. Tests whether navy signals "financial services" too strongly.
InterBurgundy #5c1a2aColor test
Compare directly vs. Style 2
Questions to Consider
While reviewing, it helps to think about:
- Which layout feels most professional for a senior data scientist role?
- Does the content clearly communicate the expertise and impact?
- Which content version (IC Track / Leadership / Research) sounds most compelling?
- Is there anything that would be worth changing or adding?
Best viewed on desktop for side-by-side comparisons.