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The Same Career in Three Formats: A CV, a LinkedIn Profile, and a Full Profile

We mapped one composite professional career into three standard formats. Here is what each version shows, what it hides, and why format dictates trust.

ByondCVAugust 5, 20265 min read

Key takeaways

  • A traditional CV prioritises pedigree and chronology over operational context and working style.
  • LinkedIn flattens real technical nuance into generic keywords designed for search algorithms rather than hiring decisions.
  • A modular full profile preserves evidence, artefacts, and nuance without forcing the reader through a two-page constraint.

Meet Elena Lindqvist. Elena is a fictional composite drawn from common patterns in modern product and systems engineering. She has spent twelve years designing design systems, managing migrations, and leading cross-functional teams.

Her career is real in every way that matters, but how that career looks depends entirely on the container holding it.

Below is the same stretch of Elena's work presented across three formats: a standard two-page CV, a public LinkedIn profile, and a structured, modular full profile.


Artefact 1: The Traditional CV

The traditional CV operates under severe spatial constraints. Its job is to survive initial screening and satisfy applicant tracking systems.

```text ELENA LINDQVIST Lead Systems Designer | Stockholm & Remote

EXPERIENCE

Lead Product Infrastructure Designer — NordTech Group (2021 – Present) • Led the migration of 4 legacy design systems into a unified token-based architecture across 6 platforms. • Reduced frontend design debt by 38% across 14 product squads within 18 months. • Managed a distributed team of 6 designers and 4 design technologists. • Authored company-wide technical documentation and accessibility guidelines (WCAG 2.1 AA).

Senior UI/UX Designer — Kapsel Media (2017 – 2021) • Designed core checkout flows, improving conversion by 11% year-on-year. • Established first component library in Figma; onboarded 22 engineers. ```

What the CV reveals

  • Chronology and titles: Fast, unambiguous proof of career progression.
  • Scale indicators: Team size, squad counts, percentage improvements.
  • Core domain: Clear signal of functional specialism.

What the CV hides

  • How decisions were made: Why tokens were chosen over monolithic libraries, and what trade-offs were accepted.
  • The friction: The legacy politics, the squads that resisted adoption, and the migration strategy that solved it.
  • Evidence of craft: No visual outputs, no architectural diagrams, no linked code samples.

Artefact 2: The LinkedIn Profile

LinkedIn serves two masters: the public professional network and the search algorithm. It is optimised for passive discovery, broad keywords, and social proof.

Elena Lindqvist Bridging design, code, and systems at scale. Design Systems Lead @ NordTech Group. Speaker & Accessibility Advocate. Stockholm County, Sweden · 2,410 followers · 500+ connections

>

About Passionate about scalable design infrastructure, accessibility, and high-performing design teams. I build systems that help engineers and designers move faster without breaking user trust. Speaker at Nordic Design Ops 2023. Always open to conversations around design tokens, cross-functional collaboration, and developer experience.

>

Experience Lead Product Infrastructure Designer NordTech Group · Full-time Sep 2021 – Present · 2 yrs 8 mos Building the unified component engine powering NordTech's web and mobile ecosystem. Skills: Design Systems · Design Tokens · Figma · React · Team Leadership

>

Endorsements Design Systems (42) · User Experience (38) · Front-End Development (19)

What LinkedIn reveals

  • Public identity and voice: How Elena positions herself within the broader market.
  • Social validation: Shared connections, recommendations, and speaking history.
  • Search surface: Keywords that match recruiter search queries.

What LinkedIn hides

  • Confidential substance: Proprietary context cannot be published to a public feed.
  • True technical competency: Endorsements and keyword lists do not distinguish between an expert and a novice.
  • Working methodology: The reader learns what Elena talks about, not how she actually executes.

Artefact 3: The Modular Full Profile

A full profile does not compress work to fit on paper, nor does it dilute detail for a public social network. It is a structured dossier built for direct evaluation.

ModuleEntry Content & Evidence
Core FocusTechnical design systems, design token architecture, cross-functional team topology.
Verified Scope14 product squads, 6 platforms (Web, iOS, Android, macOS, POS, Embedded). Single source of truth.
Case Study 01Multi-Brand Token Migration (NordTech)<br>• Problem: 4 disparate codebases after two acquisitions.<br>• Solution: Custom Style Dictionary pipeline mapping Figma variables directly to CSS/Swift/Kotlin targets.<br>• Result: Release cycle for global theme updates reduced from 3 weeks to 40 minutes.<br>• Artefacts: System architecture diagram, sanitized token schema (JSON).
Working Principles1. Components follow code architecture, not canvas convenience.<br>2. Migration succeeds through developer buy-in, not top-down mandates.<br>3. Accessibility is a build-time requirement, not a QA checklist.
Technical StackFigma, Style Dictionary, GitHub Actions, TypeScript, React, Storybook, Stencil.
ReferencesAvailable on request: VP Engineering (NordTech), Former Principal Designer (Kapsel).

What the full profile reveals

  • Deep execution: Exact tooling, schema designs, and structural decisions.
  • Operational logic: The principles Elena uses when faced with architectural ambiguity.
  • Concrete proof: Technical artefacts and structured case studies instead of unsupported metric claims.

What the full profile hides

  • Superfluous noise: Social engagement metrics, casual commentary, and unrelated updates.
  • Gimmicks: No unsolicited algorithmic feed; only direct, relevant evidence.

Direct Comparison: Signal vs Format

DimensionTraditional CVLinkedIn ProfileModular Full Profile
Primary AudienceATS software, early-stage screenersRecruiters, public networkHiring managers, technical peers
Constraint1–2 pages (space-bound)Public feed, character limitsStructured modules (depth-bound)
Evidence LevelAssertions onlyAssertions + public endorsementsAssertions + artefacts + working models
Nuance AllowedLow (bullet points)Medium (conversational)High (structured case studies)
Maintenance EffortLow (static PDF)Continuous (social visibility)Low (asynchronous documentation)

The Container Dictates the Signal

Elena Lindqvist did not become more or less competent across these three formats. Her career remained identical.

Yet the person reviewing the CV sees a tidy, standard linear career. The person reading the LinkedIn profile sees an active industry participant. The person reading the modular profile sees an operator with distinct technical principles and demonstrable execution.

Different hiring stages require different tools. A resume gets you into an applicant database. A LinkedIn presence creates inbound opportunities. But when an organisation needs to decide whether to trust you with their infrastructure, a surface-level summary fails.

ByondCV was built around this simple reality: complex professional competence cannot be proven in bullet points alone. When the medium gives you the space to show your reasoning, the right hiring decisions become obvious.

Frequently asked questions

Why is a traditional CV no longer enough for senior roles?

Senior roles require proof of decision-making, trade-offs, and systems thinking. A two-page PDF format forces professionals to reduce complex multi-year initiatives to three bullet points with arbitrary metrics.

How does a modular profile differ from a personal website?

A personal website is unstructured and often difficult to scan quickly. A modular profile uses structured, standard blocks—such as case studies, technical stacks, and methodologies—that allow a reviewer to verify claims in seconds.

Should candidates stop using LinkedIn and CVs entirely?

No. The CV remains standard for automated applicant tracking systems, and LinkedIn remains useful for top-of-funnel discovery. A modular profile serves as the evaluation layer when a hiring team needs actual evidence.

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