Engineering & Technology
An interactive map of programming languages, algorithms, AI/ML, cloud, DevOps, and modern software engineering.
Fundamentals
10 topics
AI, ML & Data Science
20 topics
Web Development
19 topics
Programming Languages
19 topics
Databases
11 topics
DevOps & Cloud
17 topics
Security & Emerging Tech
9 topics
UX/UI Design
12 topics
Ecommerce & Digital Automation
10 topics
Skills Mapped to These Topics
Ecommerce Knowledge Topics
Structured, first-hand references for the commerce stack — architecture, automation, conversion, and search.
Headless Commerce
Architecture patterns for decoupled storefronts, Storefront API, edge caching, and composable integrations.
Ecommerce Automation
Event-driven workflows, OMS orchestration, and lifecycle marketing with idempotent, observable flows.
Conversion & Analytics
Funnel analysis, CRO frameworks, attribution, and connecting engineering output to revenue outcomes.
Ecommerce SEO & Search
Technical SEO, structured data, site speed, and on-site search with Algolia and vector retrieval.
A Structured Map of the Full Stack
The knowledge base spans six engineering domains — each a curated, first-hand reference built from real implementation, not theory.
AI & Machine Learning
LLMs, RAG, vector search, recommendation systems, MLOps, and agentic workflows.
Cloud & DevOps
AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, observability, and SRE.
Software Engineering
Data structures, algorithms, system design, design patterns, and clean architecture.
Databases & Data
SQL, NoSQL, data modelling, data lakes, ETL pipelines, and warehousing.
Ecommerce Systems
Shopify architecture, headless commerce, OMS, conversion, and automation.
Security & Compliance
Zero trust, OWASP, PCI DSS, GDPR, HIPAA, and fraud prevention.
Projects Using These Technologies
Deep-Dive Articles on These Topics
Career Experience With These Technologies
The Mandate: Commerce That Compounds
Ecommerce success used to be about launching a store. Today it is about building a commerce engine — a system where storefront, automation, data, and fulfilment reinforce each other and compound revenue over time. The brands that win treat their platform as ecommerce architecture, not a website; they treat their workflows as digital automation, not campaigns; and they treat their data as a customer data platform, not a report.
Two decades of building these systems — from a direct-to-consumer channel grown to nine figures, to headless migrations, to AI-powered recommendation engines — distil into one principle: every layer should earn its cost in measurable revenue. The project case studies show the builds; the articles explain the thinking; the 55-page strategy guide is the field manual.
The work spans six capability pillars below. Each connects to a deeper resource elsewhere in the portfolio — because ecommerce is a system, and a system is only as strong as the links between its parts.
20-40%
Conversion lift
15-25%
Cart recovery
Sub-1s
TTI at peak
10-15%
Revenue via automation