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Building a Strong Engineering Portfolio

Ryan Dahlberg
Ryan Dahlberg
December 8, 2025 16 min read
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Building a Strong Engineering Portfolio

Building a Strong Engineering Portfolio

I’ve reviewed hundreds of engineering portfolios. Most are forgettable. Some are actively harmful to their creator’s job prospects. But a few - maybe 5% - are exceptional and immediately signal “hire this person.”

What separates the exceptional from the mediocre? It’s not fancy design or the most projects. It’s strategic thinking about what to showcase and how to present it.

Today I’m sharing exactly how to build a portfolio that gets you hired, with real examples and actionable advice.

What Actually Matters in a Portfolio

Let’s start by destroying some myths.

What Doesn’t Matter

Number of projects: 20 half-finished projects < 3 complete, polished ones

Fancy design: Pretty website ≠ engineering skill

Following tutorials: “I built a to-do app following a YouTube tutorial” - Everyone did

Technology buzzwords: Listing every framework you’ve heard of dilutes your message

What Actually Matters

Problem-solving: Can you identify and solve real problems?

Code quality: Is your code readable, maintainable, and well-tested?

Communication: Can you explain technical decisions clearly?

Completion: Did you finish what you started and handle edge cases?

Impact: Did your work actually matter to someone?

The Portfolio Framework

Here’s the framework I recommend:

The 3-Project Rule

Have exactly three portfolio projects:

  1. The Depth Project - Shows mastery in your specialty
  2. The Breadth Project - Shows you can learn new things
  3. The Impact Project - Shows real-world problem solving

Why three?

  • Enough to demonstrate range
  • Few enough to be polished
  • Easy for reviewers to evaluate

More than three? They’ll probably only look at the top three anyway. Make them count.

Project 1: The Depth Project

This showcases your deep expertise in your area of focus.

What Makes a Good Depth Project

Backend Engineer:

  • Distributed system with multiple services
  • Handles real scale (thousands of users or requests)
  • Complex data modeling
  • Production-grade reliability

Frontend Engineer:

  • Complex UI interactions
  • State management at scale
  • Performance optimization
  • Accessibility and responsive design

Full Stack Engineer:

  • End-to-end application
  • Integration complexity
  • DevOps and deployment
  • Real user data

Example: My Depth Project

Project: Cortex - AI Agent Orchestration System

What it is: A production system that coordinates 100+ specialized AI agents to autonomously handle complex technical tasks.

Why it demonstrates depth:

Technical Complexity:
- Distributed task routing with Redis
- Real-time WebSocket communication
- PostgreSQL for state management
- Concurrent task execution
- Self-learning feedback loops

Scale:
- Handles 1000+ tasks per day
- Coordinates 100+ agent types
- Sub-100ms routing decisions
- Production uptime > 99.5%

Engineering Excellence:
- 95%+ test coverage
- Comprehensive error handling
- Detailed logging and metrics
- CI/CD pipeline
- Production monitoring

How I present it:

# Cortex - AI Agent Orchestration

> Production AI system coordinating 100+ specialized agents for
> autonomous task execution

[Live Demo] [GitHub] [Technical Deep Dive]

## The Problem
AI agents excel at specific tasks but struggle with complex,
multi-step workflows requiring different specializations.

## The Solution
Built an orchestration system that:
- Routes tasks to specialized agents based on capability
- Coordinates multi-agent workflows
- Learns from feedback to improve routing
- Scales horizontally for high throughput

## Technical Highlights

**Architecture:**
- Microservices with Docker Swarm
- Redis for real-time task queue
- PostgreSQL for state management
- WebSocket for real-time updates

**Performance:**
- Sub-100ms task routing
- 1000+ tasks/day processed
- 99.5% uptime over 6 months

**Code Quality:**
- 95% test coverage
- TypeScript for type safety
- ESLint + Prettier for consistency
- Comprehensive API documentation

## Impact
- Reduced task completion time by 85%
- Handles 10x more complex workflows than manual approach
- Zero human intervention needed for routine tasks

## Key Learnings
[Detailed section about technical challenges and solutions]

[Link to full technical write-up]

Notice:

  • Clear problem statement
  • Quantified impact
  • Technical depth without overwhelming
  • Evidence of engineering practices
  • Shows learning and growth

Project 2: The Breadth Project

This shows you can learn and adapt.

What Makes a Good Breadth Project

Choose something outside your comfort zone:

  • Backend dev builds a mobile app
  • Frontend dev builds a CLI tool
  • Web dev builds embedded system software

The goal: Demonstrate learning ability and versatility.

Example: Breadth Project

My specialty: Backend systems and DevOps

My breadth project: Real-time collaborative editor (frontend-heavy)

Why it works:

# Real-time Collaborative Document Editor

> Built to learn WebSocket programming and complex client-side
> state management

[Demo] [Code]

## Why I Built This
Coming from a backend background, I wanted to deeply understand
real-time client-side synchronization and conflict resolution.

## What I Learned

**Operational Transformation:**
Implemented OT algorithm for conflict-free editing. Much harder
than expected - edge cases everywhere.

**WebSocket State Management:**
Managing connection state, reconnection logic, and message ordering
required completely different thinking than REST APIs.

**Client-Side Performance:**
Learned about React rendering optimization, memoization, and
when NOT to optimize.

## Technical Stack
- React + TypeScript (new to me)
- WebSocket with Socket.io
- Operational Transformation algorithm
- IndexedDB for offline support

## Challenges & Solutions

**Challenge 1: Cursor position synchronization**
Problem: User A's cursor appears in wrong position for User B
Solution: Implemented OT cursor transformation [details...]

**Challenge 2: Reconnection after network failure**
Problem: Lost state when connection drops
Solution: Implemented message queue with acknowledgments [details...]

## Outcome
- Supports 10+ concurrent editors
- < 50ms latency for most operations
- Handles offline editing with sync on reconnect
- Zero data loss in testing with simulated network failures

## What I'd Do Differently
[Honest reflection on mistakes and learnings]

What makes this strong:

  • Clear motivation (learning)
  • Honest about being outside comfort zone
  • Shows problem-solving in unfamiliar territory
  • Reflects on learnings

Project 3: The Impact Project

This demonstrates you solve real problems for real people.

What Makes a Good Impact Project

Solves an actual problem:

  • Ideally for real users
  • Measurable improvement
  • Not just a technology demo

Best sources for impact projects:

  • Open source contributions
  • Personal problem you solved
  • Freelance/client work
  • Internal tools at previous job (if shareable)

Example: Impact Project

# Auto Warranty Tracker

> Built for my family's automotive business to track warranty claims
> and reduce lost revenue

[Case Study] [Demo]

## The Problem
Family business was losing $50k+/year in warranty reimbursements
because:
- Manual tracking in spreadsheets
- Missed claim deadlines
- Lost documentation
- No automated reminders

## The Solution
Built a web app that:
- Tracks all warranty-eligible repairs
- Automatically reminds before claim deadlines
- Stores photos and documentation
- Generates claim forms

## Tech Stack
- Next.js for rapid development
- Supabase (PostgreSQL + auth)
- Cloudinary for image management
- Deployed on Vercel

## Development Process

**Week 1: Discovery**
- Interviewed technicians and service writers
- Observed current workflow
- Identified pain points

**Week 2-3: MVP**
- Core tracking functionality
- Simple UI for data entry
- Basic reminders

**Week 4: Refinement**
- Added photo upload
- Improved reminder system
- Mobile-friendly design

**Week 5: Deployment & Training**
- Deployed to production
- Trained staff
- Gathered feedback

## Results (6 months)

**Financial Impact:**
- Recovered $47k in previously missed claims
- ROI: 1500% (development time vs. recovered revenue)

**Operational Impact:**
- 100% of claims submitted before deadline
- 90% reduction in time spent on paperwork
- Zero lost documentation

**User Feedback:**
"This tool paid for itself in the first month. We didn't realize
how much money we were leaving on the table." - Service Manager

## Technical Challenges

**Challenge: Offline support for shop floor**
Solution: Implemented service worker for offline data entry

**Challenge: Photo organization**
Solution: Automatic tagging system based on repair order

**Challenge: Reminder reliability**
Solution: Multiple reminder channels (email, SMS, dashboard)

## What I Learned

**User research is critical:**
Initial design was too complex. Users wanted simple, fast data entry
above all else. I over-engineered the first version.

**Mobile-first matters:**
Most users were on tablets in the shop. Desktop-first design was
a mistake.

**Simplicity wins:**
Cut 60% of planned features. The remaining 40% delivered 90% of
the value.

## Future Enhancements
[Thoughtful list based on user feedback]

Why this works:

  • Solves a real problem
  • Quantifiable impact
  • Shows user research and iteration
  • Honest about mistakes
  • Evidence of real-world usage

The Portfolio Website

Now let’s talk about presenting these projects.

Essential Elements

1. Clear Navigation Visitor should find your projects in < 5 seconds.

2. About Section Who you are, what you do, what you’re looking for.

3. Project Showcase Each project with:

  • Clear description
  • Visual (screenshot, demo, diagram)
  • Technical details
  • Links to code and demo
  • Results/impact

4. Contact Information Make it easy to reach you.

What to Include

## Recommended Portfolio Structure

### Home Page
- Brief introduction
- Call to action ("View my work")
- Three featured projects (cards with images)

### Project Pages
Each project gets a dedicated page:
- Hero image or demo
- Problem statement
- Solution overview
- Technical details
- Results/impact
- Code samples
- Reflections/learnings
- Links (demo, GitHub, blog post)

### About Page
- Professional background
- Skills and expertise
- Current focus
- Contact information

### Blog (Optional but Recommended)
- Technical deep dives
- Learning journey posts
- Problem-solving write-ups

Design Principles

Keep it simple:

Good:
- Clean, readable typography
- Generous whitespace
- High contrast
- Fast loading

Bad:
- Complex animations
- Slow-loading images
- Tiny fonts
- Overwhelming colors

Content over design: Your work speaks louder than gradients and animations.

Mobile-friendly: Many reviewers will check on mobile. Test it.

Writing About Your Projects

This is where most portfolios fail. They show code but don’t tell the story.

The Project Write-up Template

# [Project Name]

## One-Sentence Summary
What it is and what problem it solves.

## The Problem
What real-world problem did this solve?
Who experiences this problem?
Why does it matter?

## The Solution
High-level overview of your approach.
Key features.
Why this approach?

## Technical Implementation
Architecture diagram
Tech stack decisions (and why)
Interesting technical challenges
How you solved them

## Code Quality
Testing approach
CI/CD setup
Code organization
Documentation

## Results/Impact
Quantifiable outcomes
User feedback
Performance metrics
Lessons learned

## What's Next
Future improvements
Known limitations
What you'd do differently

## Links
[Live Demo]
[GitHub Repo]
[Technical Deep Dive Blog Post]

Example: Before and After

Before (typical portfolio):

# Weather App
A weather application built with React and OpenWeather API.

Features:
- Shows current weather
- 5-day forecast
- Search by city

Tech: React, CSS, OpenWeather API

[GitHub] [Demo]

After (strategic portfolio):

# WeatherWise - Contextual Weather Intelligence

> Personal project to learn API integration and progressive
> web apps while solving my own "what should I wear?" problem

## The Problem
Weather apps show numbers, but I needed context: "Is this
jacket weather?" Decision paralysis every morning.

## The Solution
Built a PWA that translates weather data into outfit
recommendations based on:
- Temperature and feels-like
- Precipitation probability
- Wind conditions
- Your cold tolerance (configurable)

## Why I Built This
Learning goals:
1. Master PWA capabilities (offline, notifications)
2. Practice API integration patterns
3. Explore iOS/Android installation behavior

## Technical Implementation

**Progressive Web App:**
- Service worker for offline support
- Push notifications for morning briefing
- Installable on iOS and Android

**Smart Caching:**
```javascript
// Cache-first for static assets, network-first for weather data
const strategy = isWeatherRequest
  ? 'network-first-with-stale-fallback'
  : 'cache-first';

Responsive Design:

  • Mobile-first approach
  • < 2s load on 3G
  • 100/100 Lighthouse score

Key Learnings

Service Workers are tricky: Initially broke the app with aggressive caching. Learned the hard way that cache invalidation is critical.

Push notifications need opt-in UX: First version annoyed users with immediate permission request. Now shows value first, then requests permission.

Battery life matters: Background sync was killing battery. Implemented smart scheduling based on user patterns.

Results

  • 500+ daily active users (shared with friends)
  • 4.8 star average rating
  • 98% notification acceptance rate
  • Zero critical bugs in 6 months

What’s Next

Planning to add:

  • Location-based automation
  • Outfit photo upload for personalization
  • Weather-based activity suggestions

[Live Demo] [GitHub] [Technical Blog Post]


**The difference:**
- Clear problem and motivation
- Technical depth with context
- Honest about challenges
- Evidence of real usage
- Shows learning mindset

## GitHub Profile Optimization

Your GitHub profile is part of your portfolio.

### README Profile

Create a strong README at `github.com/yourusername/yourusername`

```markdown
# Hi, I'm [Your Name] 👋

Backend engineer specializing in distributed systems and developer
tools. Currently building AI orchestration systems.

## 🔭 Current Focus
- Building production AI agent systems
- Contributing to cloud-native tooling
- Learning Rust for performance-critical services

## 🛠 Tech Stack
**Strongest:** Node.js, PostgreSQL, Docker, Kubernetes, Redis

**Currently Learning:** Rust, eBPF, Temporal

## 📊 Featured Projects
[Cards/links to your 3 main projects]

## 📝 Recent Writing
[Links to recent blog posts]

## 📫 Let's Connect
[Links to LinkedIn, Twitter, Email, Website]

Repository Quality

For your portfolio projects:

1. Comprehensive README:

# Project Name

[Description, setup, usage, screenshots]

## Features
## Tech Stack
## Getting Started
## Architecture
## Testing
## Deployment
## Contributing
## License

2. Clean Code:

  • Consistent style
  • Meaningful names
  • Comments where needed
  • No dead code

3. Documentation:

  • API docs
  • Architecture diagrams
  • Setup instructions
  • Troubleshooting guide

4. CI/CD:

  • Automated tests
  • Linting
  • Build pipeline
  • Deployment automation

5. Activity:

  • Regular commits
  • Merged PRs
  • Closed issues
  • Recent updates

Open Source Contributions

Contributing to open source is portfolio gold.

How to Start

1. Find projects you use: Better to contribute to tools you understand.

2. Start small:

  • Fix typos in docs
  • Add examples
  • Improve error messages
  • Add tests

3. Graduate to features: Once you understand the codebase, tackle real issues.

Showcasing Contributions

## Open Source Contributions

### Kubernetes (CNCF)
**Contribution:** Added validation for custom resource definitions
**Impact:** Prevents misconfiguration of critical cluster resources
**PR:** #12345 (merged, 10k+ deployments affected)

### Next.js (Vercel)
**Contribution:** Improved TypeScript types for API routes
**Impact:** Better developer experience for typed APIs
**PR:** #23456 (merged, in v13.2 release)

### Redis Node Client
**Contribution:** Fixed memory leak in connection pool
**Impact:** Resolved production issue affecting high-traffic apps
**Issue:** #34567, **PR:** #34568 (merged, critical bugfix)

What this shows:

  • You can work in large codebases
  • You understand real-world impact
  • You can collaborate with teams
  • You contribute to the community

Common Portfolio Mistakes

Mistake 1: Tutorial Projects

Problem: Everyone built the same Netflix clone following the same tutorial.

Fix: Add unique features. Solve a different problem. Make it yours.

Mistake 2: Abandoned Projects

Problem: “Coming soon” projects that never came.

Fix: Remove unfinished work. Better to have 3 complete projects than 10 half-done ones.

Mistake 3: No Context

Problem: Code with no explanation of what problem it solves.

Fix: Every project needs a story. Why did you build it? What did it solve?

Mistake 4: Poor Code Quality

Problem: Impressive features but terrible code.

Fix: Refactor before showcasing. No tests? Add them. Messy code? Clean it up.

Mistake 5: Outdated Work

Problem: Projects from 5 years ago with deprecated dependencies.

Fix: Keep your portfolio projects updated. Or remove them and build new ones.

The Portfolio Maintenance Cycle

Your portfolio isn’t static.

Quarterly Review

Every 3 months:

  • Update project dependencies
  • Fix any broken demos
  • Update screenshots
  • Refresh descriptions
  • Add new learnings
  • Check all links work

Annual Refresh

Every year:

  • Replace weakest project with something new
  • Major updates to strongest projects
  • Refresh your skills section
  • Update your bio and focus
  • Review analytics (if applicable)

Portfolio Success Metrics

How do you know your portfolio is working?

Qualitative Metrics

Positive signals:

  • Recruiters mention specific projects
  • Interviewers reference your work
  • Requests for project demos
  • Questions about technical decisions

Negative signals:

  • Generic outreach (“I saw your profile…”)
  • No project-specific questions
  • Confusion about what you do
  • Requests for basic information already on site

Improving Results

If not getting traction:

  1. Ask for feedback

    • Send to experienced engineers
    • Ask: “What stands out? What’s confusing?”
  2. A/B test

    • Try different project ordering
    • Test different descriptions
    • Vary the detail level
  3. Add more context

    • Write blog posts about your projects
    • Share technical deep dives
    • Document your process

Your Portfolio Action Plan

Week 1: Audit

  • List all potential portfolio projects
  • Identify your 3 best (depth, breadth, impact)
  • Review code quality
  • Check demos and links

Week 2: Polish

  • Refactor code for the 3 projects
  • Add/improve tests
  • Update documentation
  • Fix any bugs

Week 3: Write

  • Write comprehensive project descriptions
  • Create architecture diagrams
  • Document challenges and solutions
  • Add impact metrics

Week 4: Publish

  • Build or update portfolio site
  • Optimize GitHub repos
  • Write blog posts about projects
  • Share with your network

The Bottom Line

A strong portfolio isn’t about quantity or fancy design. It’s about demonstrating:

  1. Problem-solving ability
  2. Code quality
  3. Communication skills
  4. Real-world impact
  5. Continuous learning

Focus on these elements, and your portfolio will open doors.

Remember:

  • Quality > Quantity
  • Story > Code
  • Impact > Complexity
  • Finished > Perfect

Your portfolio is a living document of your growth as an engineer. Keep it updated, keep building, and keep learning.


Part of the Developer Skills series focused on career growth and professional development.

What’s in your portfolio? What project are you most proud of? How has your portfolio helped your career? I’d love to hear your experiences and tips!

#Career Growth #Portfolio #Job Search #Personal Branding #Open Source