The Lab Notes
Project stories, technical whitepapers, and thoughts on AI-native engineering. Published posts from LinkedIn and original deep-dives.
From One State to 47: Taking the WARN Tracker National
Scaling a single-state layoff pipeline into a national one — a per-state source registry, change detection that survives 47 different publishers, and why the honest answer to a data gap is to draw it.
Flash Update: 2,300+ California Tech Roles Hit by July Layoffs
Straight from California WARN filings: Intuit, Meta, LinkedIn, Credit Karma, and NetApp are cutting 2,300+ tech roles this July. Sharing the data early so we can look out for one another.
Adhan Caster for Chrome: Pausing Every Tab at Prayer Time
How I built a Manifest V3 Chrome extension in a single day with Claude Code — a live prayer-time countdown that auto-pauses media in every tab at Adhan.
Edge AI on a Raspberry Pi 4: Adding Gemma 3 + Ollama to the Adhan Caster
How I embedded a local Gemma 3 (1B) model via Ollama into a production Raspberry Pi 4 system — a natural-language assistant that self-diagnoses failures.
Engineering a Resilient Smart Home IoT Application: Navigating System Clock Jumps and Network Outages
How an unexpected network outage and NTP clock jump broke a Node.js IoT scheduler — and how we engineered a resilient, self-healing pipeline.
Engineering a Resilient Smart Home IoT Application: Lessons in Latency, mDNS, and Self-Healing Systems
Building a highly reliable, zero-latency IoT system on a Raspberry Pi: mDNS discovery, background compute windows, and self-healing multi-tier fallbacks.
AI-Driven Development: Compressing 3 Weeks into 4 Days
A whitepaper on AI-native software development: methodology, toolchain, metrics, and a framework for measuring engineering velocity gains with AI pairing.
Marketing Automation Meets QA: Closing the Loop on AI-Powered Growth
What happens when you apply QA rigor to AI marketing pipelines? You get measurable, auditable, and reproducible growth. Here's the framework I use.
AI for Business: The Solopreneur's Secret Weapon
Why solopreneurs who master AI tooling will outcompete entire teams. A first-hand account of building production-grade systems alone, faster than ever before.
California Live Layoff Monitoring Dashboard: Live Layoff Intelligence from Scratch
How I built a fully automated pipeline that turns raw California WARN Act filings into live layoff intelligence — twice daily, zero human intervention.
Fact-Checking in the Age of AI: A QA Perspective
AI hallucinations aren't just a product problem — they're a quality problem. As QA engineers, we have a unique responsibility to build truth-verification into AI pipelines.
AI Testing: Why Your QA Team Can't Afford to Ignore It
AI-native testing pipelines aren't just faster — they surface systemic defects that humans consistently miss. Here's how I'm integrating AI testing into every new project.
Smart-Home IoT Media Caster: Engineering IoT Automation with AI
Building a prayer-time IoT orchestration system with Raspberry Pi, ADB, and Sony Android TV — compressed from 3 weeks to 4 days using AI pair programming.
AI + Predictive Analytics: The Future of Quality Assurance
How predictive analytics powered by AI is reshaping QA from reactive bug-hunting to proactive defect prevention — a shift every engineering leader needs to understand.