How to Build a Personal Website as a Software Engineer
By
Samara Garcia
•
Senior software engineers, especially those working in AI and ML, are now evaluated through public artifacts such as GitHub repositories, published papers, and personal websites. Hiring teams use these artifacts to assess depth of expertise, communication clarity, and problem selection before scheduling interviews. This article focuses on how to build a high-signal personal website that aligns with modern hiring processes, not on basic HTML tutorials. Today, AI tools and match-based hiring platforms amplify the impact of a well-structured personal site.
Key Takeaways
A personal website is now a core part of a senior software engineer’s hiring signal, especially for AI, ML, and infrastructure roles where public artifacts carry significant weight.
A strong engineering site goes beyond a web developer portfolio and acts as an interface to your work, thinking, and reputation.
AI is changing how recruiters and hiring managers discover and evaluate candidates, making personal sites increasingly machine-parsable inputs to those systems.
This article covers goals, structure, tech stack, examples, and a concrete build process, tailored to AI engineers, infra engineers, and LLM specialists.
Curated marketplaces like Fonzi can complement a personal site by routing the right companies to you, rather than relying solely on cold applications.
Why a Personal Website Matters for Modern Software Engineering Careers
Hiring for AI engineers, ML researchers, and infra specialists has shifted from resume-first to artifact-first evaluation. Companies like OpenAI and Anthropic now triage candidates via GitHub stars, arXiv citations, and personal sites that quantify impact with statements like “reduced inference latency 40% at scale for 10M daily queries.”
A software engineer’s personal website serves as a living portfolio that demonstrates technical skills beyond what a static resume can convey. Personal websites provide a stable, canonical overview of your work that complements fast-moving platforms like GitHub, arXiv, and LinkedIn.
Recruiters use AI summarizers from platforms like Greenhouse or Lever to extract signals from sites, searching for production LLM deployment evidence via case studies detailing stack, outcomes, and domains. A strong web developer portfolio is crucial for a successful career, as it showcases technical expertise and can attract potential clients. Personal sites are especially valuable for candidates in niche areas such as retrieval-augmented generation infrastructure, privacy-preserving ML, or reinforcement learning for robotics, where context and explanation matter beyond raw code.
Curated marketplaces like Fonzi always ask for a personal website link because it accelerates vetting and matching for high-intent candidates.
Clarifying Goals and Audience for Your Engineering Website
Senior engineers should treat their personal site like an API surface, designed around specific consumers and use cases. Creating a personal website as a solo developer presents several challenges, including defining clear goals and understanding the target audience. This clarity guides your content choices and design.
Common primary goals include:
Attracting roles at AI product startups, such as staff engineer positions at scaleups like Perplexity AI
Signaling readiness for staff or principal positions with metrics like “led 50-engineer infra team scaling to 100k GPUs.”
Supporting independent consulting with hourly rates averaging $300 to $500 for LLM specialists
Documenting research impact by tracking citations and conference acceptances
Three distinct audiences frequently visit engineer sites: in-house recruiters scanning for role-fit, engineering managers assessing ownership and complexity, and peer collaborators from conferences or open source projects valuing technical depth.
Goal | Primary Audience | Primary Call to Action |
Startup attraction | Recruiters | View CV, Schedule Call |
Principal signaling | Engineering Managers | Deep Dive Projects |
Consulting | Peers, Potential clients | Collaborate Form |
Research amplification | Academic peers | Explore Papers |
How to Structure the Content for Recruiters
Most senior engineering visitors spend 90 to 120 seconds on a first visit, so navigation and hierarchy must surface key signals immediately. Recruiters often spend less than 10 seconds reviewing a portfolio, making fast scanning essential.
Essential pages for a software developer’s personal website include a homepage, about page, project showcase, and contact information. Including a short bio, contact information, relevant experience, personal projects, and a downloadable resume are essential components of a web developer portfolio.
Design the homepage for fast scanning with a concise headline such as “Staff Machine Learning Engineer focused on LLM evaluation and production reliability, based in Berlin” and a 100-word summary paragraph. Consider adding tag clouds with terms like RAG, LLMInfra, and Ray to enable quick pattern matching.
The about page should give career trajectory, current focus areas such as retrieval pipelines or model compression, and selected highlights with dates and impact metrics. Projects should be curated for quality rather than quantity, ideally highlighting 3 to 5 top projects with visual examples rather than listing every repository.
Visitor Type | Primary Interest | Content Priority |
Recruiters | Role level, Outcomes | Homepage, CV |
Engineering Managers | Ownership, Complexity | Projects, Case Studies |
Peers | Technical depth | Architecture details, Code |
Include a compact resume section or downloadable PDF with updated dates, but stress that the site should add narrative and context beyond the CV. The contact page should respect recruiters’ workflow with links to LinkedIn and GitHub, avoiding complex forms that can fail silently and encourage visitors to reach out.
Picking a Stack That Reflects Your Skills
Senior engineers should choose a stack that balances expressiveness, maintainability, and page performance rather than over-optimizing for novelty. Choosing the right tech stack is crucial for building a personal website, as it should align with the developer’s goals and budget.
Modern stacks to consider:
Next.js with React and TypeScript for full-stack developers and frontend engineers who want interactive demos
Astro or Eleventy for minimal static sites with excellent performance
Hugo or Jekyll as a static site generator for content-heavy blogs with fast rebuild times
AI and ML engineers might want to integrate lightweight interactive demos. Consider static exports from Jupyter using nbconvert, Gradio, or Streamlit deployments on Vercel for sub-100ms demos, and small WebAssembly demos for tensor operations when relevant.
Stack | Setup Effort | Performance | Blog Suitability | Demo Suitability |
Next.js | Medium | Excellent | Good | Excellent |
Astro | Low | Top tier | Excellent | Good |
Hugo | Minimal | Best | Excellent | Limited |
Ensure the site loads in under 2 seconds and achieves high scores for performance using tools like Google Lighthouse. Static hosting on providers like GitHub Pages, Netlify, or Vercel is usually sufficient for most engineering sites. AI tools can assist the build process, for example, using code generation to scaffold layouts, but engineers should review and refine the final output.
Showcasing Projects and Experience with High Signal Case Studies
For senior AI and infra engineers, the goal is to demonstrate ownership, scale, and decision-making, not only to list technologies. Employers often value working demonstrations and clear documentation over a high volume of basic projects.
Standard case study structure:
Problem context and business or research goal
Constraints such as latency targets or regulatory requirements
Your role and collaborators
Technical approach with stack details
Measurable results with metrics
Showcase experience with AI and ML tools, such as integrating LLM APIs or using RAG for retrieval-augmented generation systems. Include dates, organization names where possible, and links to public artifacts like repositories, published papers, or conference talks. Anonymize sensitive details while describing scale with bucketed traffic numbers or ranges of latency improvements.
Include at least one example of cross-functional work, such as collaborating with product and design or with legal and compliance teams on responsible AI deployment. Various projects across different domains demonstrate breadth, while deep case studies show depth.
SEO, Performance, and Machine-readability
Many hiring workflows now rely on search and AI summarization over public web content, so engineers should treat their site as input to these systems. AI-powered tools from LinkedIn and Eightfold parse public profiles for signals like “LLM fine-tuning” or “distributed training infrastructure.”
Use clear, descriptive page titles and meta descriptions mentioning relevant terms such as “LLM infrastructure engineer,” “applied ML researcher,” or “SRE for large-scale data pipelines.” Basic on-page SEO practices include using one H1 per page, descriptive H2s, and human-readable URLs reflecting the content.
Implement a simple, automatically generated sitemap.xml and robots.txt so search engines and AI-powered tools can crawl and index the site reliably, achieving approximately 80% better index rates. Regularly auditing your website using website audit tools can help identify areas for improvement in performance, user experience, and SEO.
Page performance matters significantly. Target Core Web Vitals with LCP under 2.5 seconds and CLS under 0.1. Optimize images to under 100kb, limit third-party scripts, and use static rendering. Consider Google Analytics for tracking the website’s performance and understanding how visitors access your content.
Fonzi and Modern Engineering Hiring
As personal websites become a core part of technical hiring, platforms like Fonzi help strong engineering portfolios reach the right companies faster. Fonzi is a curated hiring marketplace built for AI engineers, ML researchers, infrastructure engineers, and LLM specialists, where technical depth and public work matter more than keyword-heavy resumes.
The platform combines AI-powered matching with structured human review to evaluate real engineering capability through projects, technical writing, GitHub activity, and production experience. Its evaluation process is designed to eliminate bias in recruitment by focusing on demonstrated skills, measurable impact, and standardized assessments rather than pedigree or subjective screening.
Through curated Match Day hiring events, vetted candidates are introduced directly to companies with active AI initiatives, transparent compensation ranges, and clearly defined technical roles. For engineers investing in high-signal personal websites, detailed case studies, and public technical artifacts, this creates a more efficient path to opportunities than relying only on cold applications or generic job boards.
Step-by-Step Build Plan for Your Personal Engineering Website
This section provides a clear build sequence that an experienced engineer can follow over one or two weekends to create their own personal website.
Weekend One:
Define the primary audience and write a concise positioning statement, for example, “Senior ML engineer focused on retrieval and evaluation for generative AI products.”
Select a stack and template, starting from a minimal Next.js or Astro starter rather than reinventing the base layout
Draft core pages in Markdown first: homepage, about, and three to five projects before implementing visual design
Weekend Two:
Implement layout and styling using a simple design system or utility library like Tailwind CSS, testing responsive design on mobile devices, tablets, and desktop viewports
Wire SEO basics, analytics if desired, and simple contact links, then run automated checks for performance and accessibility
Deploy to chosen hosting provider, configure a custom domain with DNS, and verify HTTPS, email links, and social link previews work correctly
Summary
A strong personal website has become an essential hiring signal for senior software engineers, especially in AI, ML, and infrastructure roles where recruiters increasingly evaluate public work alongside resumes. The best engineering websites act as more than simple portfolios. They showcase technical depth, project ownership, communication skills, and measurable impact through curated case studies, GitHub repositories, technical writing, and research. As AI-powered recruiting tools become more common, personal websites are also becoming machine-readable sources that help hiring teams quickly assess expertise and role fit.
The most effective engineering sites focus on clarity, performance, and high-signal content rather than flashy design. Senior engineers benefit most from highlighting a small number of strong projects with detailed explanations of the problem, technical decisions, constraints, and outcomes. Lightweight stacks like Next.js, Astro, Hugo, or Jekyll paired with fast hosting on Vercel or GitHub Pages are common choices. Combined with structured hiring platforms like Fonzi, a well-maintained personal website can significantly improve visibility, strengthen credibility, and help engineers connect with higher-quality opportunities faster.
FAQ
Why should a software engineer have a personal website?
What should a software developer’s personal site include beyond just a portfolio?
What are the best tools and platforms for building a personal engineering website?
What are examples of great personal websites from software engineers?
How is a personal website different from a GitHub profile or a LinkedIn page for getting hired?
