01
How to Build an AI Engineer Portfolio That Shows Production Capability
A practical framework for turning projects, architecture decisions, metrics, and engineering judgment into a portfolio recruiters can assess quickly.
ai engineer portfolio
Knowledge base
AI engineering articles.
Long-form technical writing designed for both human readers and answer engines: define the question first, then provide architecture, evidence, trade-offs, and practical next steps.
02
Designing Multimodal Recommender Systems with Text and Vision
A technical guide to combining transformer text embeddings, visual embeddings, ranking losses, and approximate nearest-neighbor retrieval.
multimodal recommender system
03
FAISS for Fast Vector Search: Architecture, Trade-offs, and Evaluation
How approximate nearest-neighbor search fits into production retrieval systems, what to benchmark, and how to explain the design clearly.
FAISS vector search
04
Building Long-Session LLM Chatbots with Reliable Conversation Memory
A detailed blueprint for maintaining context, isolating orchestration from the API layer, and designing replaceable model backends.
LLM chatbot memory
05
RAG System Design: From Retrieval Quality to Production Operations
A practical way to reason about chunking, embeddings, ranking, citations, latency, and evaluation in retrieval-augmented generation.
RAG system design
06
Agentic AI Architecture Without the Hype
A grounded approach to tool use, planning loops, state, safeguards, observability, and measurable task completion.
agentic AI architecture
07
Machine Learning Model Evaluation That Recruiters Can Actually Understand
How to report evaluation honestly with baselines, held-out splits, precision, recall, NDCG, and operational measures.
machine learning model evaluation
08
MLOps for Serious Portfolio Projects
How to upgrade an ML prototype into a reproducible, testable, deployable engineering artifact.
MLOps portfolio projects
09
Turning a Trained Model into a Production-Ready Flask API
A deployment-oriented guide to API contracts, validation, inference isolation, observability, and model versioning.
Flask machine learning API
10
Docker for Machine Learning Services
A concise guide to packaging ML applications, controlling dependencies, improving reproducibility, and preparing deployment.
Docker machine learning
11
Core Web Vitals for Engineering Portfolios
How LCP, INP, and CLS shape portfolio quality and which engineering choices protect them.
Core Web Vitals portfolio
12
Building an Accessible Engineering Portfolio with WCAG 2.1 AA Principles
A practical accessibility checklist covering semantics, keyboard use, focus, contrast, touch targets, motion, and content.
accessible portfolio WCAG 2.1
13
Technical Personal Branding for AI Engineers
How to make your digital footprint explain what you build without turning a professional profile into a marketing slogan.
technical personal branding
14
Entity SEO for Common Names
A structured method for helping search engines and answer engines distinguish one professional entity from similarly named people.
entity SEO personal brand
15
Knowledge Panel Readiness for Individual Professionals
What can be influenced, what cannot be guaranteed, and how to build a coherent public entity footprint.
Google knowledge panel
16
Content Clusters for an AI Engineering Portfolio
How project pages, articles, glossary pages, and social proof can form one topical authority system.
content cluster SEO
17
Internal Linking Architecture for Personal Websites
A crawlable linking model that supports users, search engines, and answer engines without forcing visitors through one interaction path.
internal linking strategy
18
Technical SEO on Vercel for Static Portfolios
How to ship clean URLs, sitemaps, robots.txt, headers, canonical tags, and fast static pages on Vercel.
Vercel SEO static site
19
Reputation Management for Technical Professionals
A proactive framework for aligning public profiles, project proof, authorship, and search results around the same professional identity.
technical reputation management
20
International SEO for a Global Engineering Portfolio
When language, geography, hreflang, and regional pages help—and when they create unnecessary duplication.
international personal SEO