Cloud / DevOps
Building at scale: Lessons from 300M+ event pipelines
How we optimized AWS serverless workloads to manage massive analytics ingestion and speed up Athena queries by 12x.
8 minJan 2025
ReadBlog
Engineering in depth
Technical content on architecture, performance, developer experience, and the craft of building software that scales.
AI AssistantsScopingProduct StrategyWorkflowsAI SystemsData FoundationsKnowledge SystemsArchitecture
39
Archive posts
29
On-site
10
External
4/5
Page
Start Here
How to Scope an AI Assistant for Real Teams
The fastest way to waste time with AI is to scope the assistant too broadly. This guide explains how to define the first useful workflow instead.
AI AssistantsScopingProduct Strategy
Read article
Medium
Configuring Environments for iOS in React Native Using Xcode
A clean setup guide for React Native iOS environments across development, UAT, and production using Xcode.
Open on Medium
Reading posture
These posts connect shipped systems, research direction, public packages, and serious product execution.
On-site essays stay internal to the site for deeper SEO and cross-linking. Existing Medium tutorials still open on Medium where they belong canonically.
AI AssistantsScopingProduct StrategyWorkflowsAI SystemsData FoundationsKnowledge SystemsArchitectureTechnical LeadershipStartupsEngineering ManagementDeliveryResearch CollaborationUniversitiesProfessorsTechnical Writing
AI AssistantsScopingProduct StrategyWorkflowsAI SystemsData FoundationsKnowledge SystemsArchitectureTechnical LeadershipStartupsEngineering ManagementDeliveryResearch CollaborationUniversitiesProfessorsTechnical Writing
39
All posts
29
Original site essays
10
External links
10
Medium posts
Crawlable archive
Engineering in depth
39 published articles in this archive. Internal essays stay on-site and external posts open on their original platforms.
AI / ML
AI in production: Guardrails and trusted workflows
Moving beyond chatbots: implementing robust RAG systems with rigorous evaluation and autonomous agents that don't hallucinate.
6 minJan 2025
ReadFinTech
FinTech & Engineering: Where MScFE meets systems
Applying quantitative finance models to distributed engineering architectures for high-frequency trading platforms.
5 minDec 2024
ReadWeb Dev
Type-Safe APIs with tRPC and Next.js App Router
A deep dive into building end-to-end type-safe monorepos, reducing runtime errors to near zero.
4 minNov 2024
ReadBlockchain
Basics of Blockchain Everyone Should Know - Part 1A: The Fundamentals
An approachable introduction to decentralization, cryptography, and distributed ledgers for readers entering blockchain from a practical angle.
BlockchainWeb3Fundamentals
5 minOct 2024
Open on MediumCloud / DevOps
Running Puppeteer/Chromium on AWS Lambda with Node.js 20+
A deployment-focused guide for getting Puppeteer and Chromium working on modern AWS Lambda runtimes with fewer compatibility issues.
AWS LambdaPuppeteerNode.js
7 minOct 2024
Open on MediumCloud / DevOps
Scaling Node.js/Express App Using Worker Threads and Clusters
A Node.js scaling article exploring how worker threads and clusters help reduce bottlenecks in CPU-heavy or concurrency-sensitive services.
Node.jsExpressScaling
6 minJul 2024
Open on MediumWeb Dev
Optimizing 3D Model Rendering in Next.js with React Fiber Offscreen
A performance-minded article on reducing blocking time while rendering 3D assets in Next.js and React-based interfaces.
React Three FiberNext.jsPerformance
6 minMar 2024
Open on MediumWeb Dev
Creating Animated Avatar for Your Portfolio Website Using Ready Player, Mixamo, Next.js
A practical portfolio engineering article covering animated avatars, Mixamo workflows, and web presentation with Next.js and 3D tooling.
Portfolio3DNext.js
7 minFeb 2024
Open on MediumEditorial model
Why the archive is split this way
01
On-site posts are written for deeper internal linking, stronger SEO coverage, and longer-form architectural explanation.
02
External posts remain linked to their original source so the canonical article stays where it was first published.
03
Source filters make it easier for readers and search engines to understand where content lives and how it relates.
04
Pagination is route-based so archive pages remain crawlable without client-only query state.
“This archive intentionally combines original on-site essays with external writing so readers can evaluate one connected body of work while still respecting the canonical destination of outside posts.
Publishing system
How the archive grows
A content model shaped by production work, research-facing thinking, and public technical artifacts.
01
Step 01
Start from repeated friction
The best articles begin with recurring technical, product, hiring, or research questions that keep showing up in practice.
02
Step 02
Connect to evidence
Every useful article should connect to shipped systems, public projects, open source, or clearly scoped technical direction.
03
Step 03
Link the knowledge graph
Articles should guide readers toward related services, projects, profiles, and adjacent essays instead of living in isolation.
04
Step 04
Preserve canonical destinations
When a piece belongs on an external platform, the archive links outward instead of pretending the post was originally published here.
01
Start from repeated friction
The best articles begin with recurring technical, product, hiring, or research questions that keep showing up in practice.
02
Connect to evidence
Every useful article should connect to shipped systems, public projects, open source, or clearly scoped technical direction.
03
Link the knowledge graph
Articles should guide readers toward related services, projects, profiles, and adjacent essays instead of living in isolation.
04
Preserve canonical destinations
When a piece belongs on an external platform, the archive links outward instead of pretending the post was originally published here.
Topics covered
Archive taxonomy
The recurring technical and strategic themes represented across this archive.
AI AssistantsScopingProduct StrategyWorkflowsAI SystemsData FoundationsKnowledge SystemsArchitectureTechnical LeadershipStartupsEngineering ManagementDeliveryResearch CollaborationUniversitiesProfessorsTechnical WritingNext.jsPerformanceSEOContent PlatformsHiringInterviewsFull-StackAI EngineeringConsultingAdvisoryCollaborationRAGGuardrailsProductionOpen SourceDue DiligenceEvaluationCloud CostOptimizationData EngineeringObservabilityAWSAnalyticsPlatform EngineeringDeveloper ExperienceAdoptionInternal ToolsCase StudiesClient WorkHackathonsRoadmappingPrototypingMonorepoModernizationCI/CDPackage DesignMaintenanceAcademic PartnershipsResearchProduct ThinkingEngineering JudgmentFinTechProduct SystemsRiskMentorshipCode ReviewTeam GrowthFinancial EngineeringSystems ThinkingServerlessContainersCloud ArchitectureInfrastructureTechnical EvaluationWeb3BlockchainProduct DesignSmart ContractsReact NativeiOSXcodeAndroidBuild ConfigFundamentalsAWS LambdaPuppeteerNode.jsExpressScalingReact Three FiberPortfolio3DWeb WorkersQuantum ComputingPWASerwist
Archive FAQ
Common questions
A few quick answers about how the archive works.
Some articles were originally published elsewhere and remain canonical there. The archive keeps them visible while sending readers to the original source.
They make the archive easier to browse, easier to index, and easier to understand for both readers and search engines.
Yes. On-site essays are usually more tightly integrated with the rest of the portfolio through internal linking, related sections, and deeper context.
Absolutely. The best prompts for new writing usually come from real engineering, hiring, research, or product questions.
Want to turn these ideas into execution?
The archive is one way to evaluate how I think. Direct collaboration is where that thinking becomes implementation leverage.