Building software that solves problems. I help business owners and tech leaders figure out where AI will
actually pay off.
Most AI advice comes from people who have never had to run it inside a real business. Mine comes from
systems I've built, run every day, and fixed when they broke. When AI is the wrong answer, I'll tell you.
My work covers retail, e-commerce, real estate, healthcare, and internal business operations. I also teach
AI-assisted coding on
TikTok and
Facebook.
I serve as Chief Information Officer, driving both enterprise business development and complex system rollouts. Specializing in AI automation workflows, scalable mobile architectures, and high-availability cloud setups, I build seamless technical landscapes that completely eliminate operational friction for growing enterprises.
Led developers, engineers, and designers, and built the company’s automation.
Built automation that removes repetitive work: social media posting, AI comment replies, blog publishing, sales alerts for executives, and links between business systems.
Worked with sales and marketing to grow the client base and open new revenue streams.
Ran project status meetings, caught problems early, and set up a project process that shortened delivery time.
A growing company was paying ₱162,000 a month for technology nobody had reviewed.
Cloud hosting and software subscriptions grow quietly because reviewing them is nobody's job. A careful
audit with a tested rollback plan cut this bill by about 93 percent, roughly ₱1.8 million a year,
with no data loss and a ten-minute planned switch.
Cost reductionAbout ₱1.8M saved a year
Before, four recurring bills kept arriving every month and nobody could explain what they paid for.
The company was paying for cloud hosting, product analytics, hosted search, and log monitoring. Resources
created for finished projects kept billing, the database tier was far larger than real demand, and three
subscriptions duplicated capability that could run on hardware the business already owned.
I measured the true baseline from finalized invoices, matched every running resource against a real
business purpose, proved the replacement under load, then switched production in a ten-minute planned
window at midnight and removed the old cost in approved stages.
Cut recurring technology cost by about 93 percent, roughly ₱1.8 million a year.
Completed the production switch in a ten-minute planned window with no data loss.
Kept a written rollback path and recovery snapshots at every stage.
Monthly recurring cost through 2026. The two paths are identical until September, when the migration
completed. Figures in Philippine pesos; January to August are finalized invoice actuals.
About ₱150,000 saved monthlyRecurring spend fell from roughly ₱162,000 a month to about ₱12,000 a month.
Paid for itself in under a monthThe temporary cost of running both environments was recovered by the first month of savings.
Reversible at every stepCapacity was proven under load first, and a documented way back existed before each change.