Technical SEO, search discovery & Google Ads engineering
I approach search as part of product distribution. That means building crawlable information architecture, matching pages to real search intent, validating metadata and indexability, submitting sitemaps, inspecting coverage, and using paid search when the goal is to appear precisely when someone is already looking for the product or service.
What this looks like in practice
Search-oriented product sites with intent-specific landing pages, canonical metadata, structured data, sitemaps, robots controls, and internal linking.
Google Search Console and Bing Webmaster Tools workflows for discovery, indexing, sitemap submission, and diagnostics.
Screaming Frog SEO Spider audits on Linux for crawlability, metadata, links, and technical SEO checks.
Google Ads search campaigns focused on high-intent queries rather than broad awareness advertising.
Each project below links to a deeper case study covering product scope, engineering ownership, supporting systems, and production evidence.
SaaS · Case study
JournPad: Voice Journal
Voice-first journaling app that preserves the original recording, transcribes spoken entries, and uses AI to generate useful titles, summaries, and categories. Entries can be searched and revisited by date, linked to goals, supported by reminders and prompts, and protected with account, deletion, and optional biometric controls.
Rent collection and reconciliation software for landlords and property managers. RentPayor connects iOS and Android apps with a web management dashboard for landlords and property managers. It handles properties, leases, rent invoicing, M-Pesa collections, partial payments, automatic reconciliation, receipts, credits and reporting.