3 examples of how to write a compelling 'About Me' section for tech careers

You’re not here for theory. You’re here for examples of 3 examples of how to write a compelling ‘about me’ section that you can steal, edit, and deploy.

Below are three primary archetypes:

• The hands-on builder (software engineer / front-end / full-stack)
• The data/AI specialist (data scientist / ML engineer / analytics engineer)
• The product-minded technologist (PMs, tech leads, founders, staff engineers)

Within each archetype, you’ll see real examples, why they work, and how to adapt them. These are not templates in the “Dear Sir or Madam” sense. They’re patterns that match how hiring actually works in 2024–2025.

Example 1: The hands-on builder (software engineer / full-stack)

This first category is for people whose value is obvious when something is shipped: apps, features, APIs, dev tools. If that’s you, your About section should:

• Lead with what you build and for whom
• Show impact with a few measurable outcomes
• Hint at your personality and working style

Here’s the first example of a compelling About Me for a mid-level full-stack developer:

Example A – Mid-level full-stack engineer
“I’m a full-stack engineer who loves turning ambiguous product ideas into fast, reliable web apps. Over the last 5 years, I’ve helped early-stage startups ship features that increased signups by up to 40% and cut page load times by more than half.

I work mostly with TypeScript, React, and Node, and I care a lot about performance, clean abstractions, and developer experience. At my current role, I led a migration from a legacy monolith to a modular architecture, which reduced deployment time from 20 minutes to under 5 and made it possible for the team to ship multiple times per day.

Outside of work, I contribute to open-source tooling around testing and CI. If you’re building a product and need someone who can own a feature from idea to production, you’ll probably like working with me.”

Why this works:

• It opens with what they do and for whom, not where they went to school.
• It includes concrete numbers (40% more signups, 20 to 5 minutes deploys) instead of buzzwords.
• It closes with a clear signal of who should reach out and why.

Here’s another of the best examples for a more junior engineer transitioning from another field:

Example B – Career switcher into software engineering
“I’m a software engineer with a background in mechanical engineering, focused on building tools that make complex systems easier to understand.

Before writing code full-time, I spent 4 years designing and testing physical prototypes for manufacturing. That experience trained me to think in systems, debug methodically, and communicate with cross-functional teams. Now I apply that mindset to building web apps with Python, Django, and React.

Recent projects include a real-time dashboard for IoT sensor data and a simulation tool that helps students visualize fluid dynamics. I’m especially interested in roles where I can collaborate closely with product and design to ship tools that help engineers and scientists do their best work.”

Why this works:

• It makes the career switch a feature, not a flaw.
• It translates prior experience into tech-relevant skills (systems thinking, debugging, cross-functional work).
• It uses recent projects as proof instead of just listing technologies.

These two are strong examples of 3 examples of how to write a compelling ‘about me’ section for builders: short, specific, and grounded in outcomes.

Example 2: The data and AI specialist (data science / ML / analytics)

Data and AI roles exploded over the last few years, and hiring managers have become more skeptical of vague claims. Your About section needs to show that you:

• Work with real data and real constraints
• Care about both models and impact
• Understand trade-offs, ethics, and reliability

Here’s a strong example of an About Me for a data scientist in 2024–2025:

Example C – Data scientist focused on product analytics
“I’m a data scientist who helps product teams make better decisions with fewer dashboards. I specialize in turning messy behavioral data into clear stories that influence what gets built next.

At my current company, I partner with PMs and engineers to design experiments, define success metrics, and analyze user behavior. My work has informed decisions that increased activation rates by 18% and reduced churn in our SMB segment by 9% year-over-year.

I’m most comfortable in Python, SQL, and dbt, and I care a lot about reproducible analysis and honest communication of uncertainty. I’m especially interested in roles where data is treated as a product, not just a reporting function.”

Why this works:

• It speaks the language of product impact, not just algorithms.
• It shows familiarity with modern data tooling (Python, SQL, dbt) without turning into a keyword dump.
• It signals values: reproducibility, honest communication.

Now consider this example of an ML engineer working with generative AI:

Example D – ML engineer working on generative AI
“I’m an ML engineer focused on building reliable, production-grade systems with large language models. I enjoy the unglamorous parts of AI: evaluation, monitoring, and making sure the model behaves when real users do unexpected things.

Recently, I led the development of an internal AI assistant that helps our support team draft responses. We combined retrieval-augmented generation with a strict evaluation pipeline, which cut average handling time by 23% while keeping hallucination rates below 3% in offline tests.

I work primarily with Python, PyTorch, and modern LLM tooling, and I follow current safety and evaluation research from organizations like NIST and academic labs. I’m looking for teams that care about shipping AI features responsibly, not just quickly.”

This example nods to current trends (LLMs, retrieval-augmented generation, evaluation, safety) and references NIST, which publishes AI risk management and evaluation guidelines (nist.gov). That kind of reference subtly shows you’re plugged into the broader ecosystem.

Together, these are strong examples of 3 examples of how to write a compelling ‘about me’ section for data and AI professionals: they emphasize impact, tooling, and responsibility.

Example 3: The product-minded technologist (PMs, tech leads, founders)

If you sit at the intersection of tech and product—maybe you’re a product manager, a tech lead, or a founder—your About section should:

• Show how you connect business needs to technical reality
• Highlight cross-functional communication
• Demonstrate ownership over outcomes, not just features

Here’s one of the best examples for a product manager with a technical background:

Example E – Product manager with engineering roots
“I’m a product manager with a background in software engineering, focused on building tools that make teams more effective.

I’ve led cross-functional teams shipping B2B SaaS features from discovery to launch, working closely with engineering, design, sales, and customer success. In my last role, I owned a workflow automation product that grew from zero to $3.2M ARR in two years, while maintaining a net retention rate above 120%.

I’m comfortable getting into technical details when needed—reading PRs, understanding architectural trade-offs—but my favorite work happens in user interviews, roadmapping sessions, and experiments that de-risk big bets. I’m especially interested in products that sit at the intersection of collaboration, developer tools, and AI.”

Why this works:

• It quantifies impact (ARR, retention) without sounding like a pitch deck.
• It clarifies how they work with engineers without pretending to still be an engineer.

Now consider this example of a staff engineer/tech lead:

Example F – Staff engineer / tech lead
“I’m a staff engineer who helps teams ship ambitious projects without burning out.

Over the last 10+ years, I’ve led initiatives ranging from large-scale refactors to greenfield product launches. My work usually sits where architecture, developer experience, and product strategy overlap. I’ve helped reduce build times by 70%, cut incident volume in half, and mentor engineers into senior and staff roles.

I enjoy writing design docs, aligning stakeholders, and creating systems that make the right thing the easy thing. I’m looking for opportunities where I can partner with engineering and product leadership to grow both people and platforms.”

This is another of the strong examples of 3 examples of how to write a compelling ‘about me’ section because it:

• Balances technical depth with leadership and mentoring
• Includes a few outcome metrics (build times, incidents)
• Signals the kind of work they want more of

How to adapt these examples without copying them

You now have several real examples across roles. The goal is not to paste them into your site and change a few nouns. Instead, treat them as patterns.

Here’s a simple structure that all of these examples include:

1. Opening line: Who you are and what you focus on, in one sentence.
2. Evidence: 2–4 sentences with specific projects, metrics, or responsibilities.
3. Tools and methods: A short nod to your tech stack or workflows.
4. Direction: What you want more of next (types of problems, teams, or industries).

If you want to write your own from scratch, try this fill-in-the-blanks exercise:

• I’m a [role] who helps [type of user/company] [achieve outcome].
• Recently, I [built/led/shipped] [project] that [result].
• I usually work with [tools/technologies], and I care a lot about [values/process].
• I’m especially interested in [types of problems/industries] and [how you like to work].

You can see that each of the earlier examples of 3 examples of how to write a compelling ‘about me’ section fits this pattern, even though the wording is different.

2024–2025 trends to reflect in your About Me

If you want your About page to feel current, not dated, weave in a few modern signals—lightly.

Some trends you can reference:

• Remote and hybrid collaboration. Many tech teams are distributed; mentioning how you communicate, document, and work asynchronously is relevant.
• AI literacy. You don’t need to be an ML engineer, but showing that you understand how AI fits into your domain is helpful. For example, a designer might mention how they prototype with AI tools; a backend engineer might mention experience integrating third-party AI APIs.
• Security and privacy awareness. Even if you’re not a security engineer, showing that you think about data protection and privacy regulations can be reassuring. The U.S. Federal Trade Commission, for example, publishes guidance on data security practices for businesses (ftc.gov).
• Accessibility and inclusion. If you work on user-facing products, referencing accessibility guidelines (like WCAG from the W3C or resources from the U.S. Access Board at access-board.gov) shows that you build for real users, not idealized ones.

You don’t need to write an essay about any of these. One grounded sentence can be enough:

“I care about building accessible interfaces that follow WCAG guidelines and work well for users on slower connections.”

“I’m comfortable collaborating in remote-first teams and rely heavily on written communication, clear documentation, and async decision-making.”

These are smaller examples of how to keep your About section aligned with 2024–2025 expectations.

Common mistakes these examples help you avoid

Looking back at our examples of 3 examples of how to write a compelling ‘about me’ section, notice what they don’t do:

• They don’t start with childhood stories or generic passion statements.
• They don’t list every technology ever touched.
• They don’t copy-paste a resume summary.
• They don’t try to sound like a corporate press release.

Instead, they:

• Speak directly to the reader in the first person.
• Focus on outcomes and impact.
• Use numbers sparingly but effectively.
• Make it clear what kind of roles or projects are a good fit.

When in doubt, compare your draft to any example of the ones above and ask:

• Would a hiring manager understand what I actually do within 10 seconds?
• Could they repeat one concrete outcome I’ve delivered?
• Would they know what to contact me for?

If the answer is yes, you’re in good shape.

FAQ: About Me sections for tech portfolios

What are some good examples of a strong tech “About Me” section?

Good examples of strong tech About sections are short, outcome-focused, and tailored to the roles you want. The examples in this article—like the full-stack engineer who mentions reducing deployment time, or the ML engineer who talks about lowering hallucination rates—are good reference points. Each example of a strong section answers three questions: what you do, how you work, and what results you’ve delivered.

How long should my About Me be on a tech portfolio site?

For most developers, data folks, and PMs, 150–300 words is plenty. Every one of the examples of 3 examples of how to write a compelling ‘about me’ section above fits roughly in that range. Long enough to tell a story, short enough that a recruiter will actually read it.

Should I include personal hobbies in my About Me?

You can, but keep it short and intentional. One or two lines is enough: “Outside of work, I mentor new developers through a nonprofit program,” or “I enjoy trail running and building mechanical keyboards.” If you do mention hobbies, consider tying them back to traits that matter in tech roles—mentoring, persistence, curiosity. The best examples use hobbies as color, not the main event.

Can I reuse my LinkedIn summary as my About Me section?

You can start from it, but don’t stop there. Your personal site is where you can be a bit more opinionated and specific. Many of the real examples above would work on LinkedIn, but they’re written with a portfolio audience in mind: someone who has already clicked on you and wants to know whether to reach out.

Do I need to mention degrees or certifications in my About Me?

Only if they genuinely strengthen your story. For some roles—like data science or certain research-heavy positions—referencing a degree from a well-known program can help. For others, projects and impact matter more. Universities like MIT and Stanford share public course materials online (ocw.mit.edu, online.stanford.edu); if you’re self-taught, mentioning serious coursework from these kinds of sources can show initiative without padding your About section with acronyms.

Use these examples of 3 examples of how to write a compelling ‘about me’ section as a starting point, not a script. Keep it specific, keep it honest, and remember: your About page is not about telling your entire life story. It’s about making it very easy for the right people to say, “Yes, this is who we need.”