BS Computer Engineering, MapĂșa University
Coursework: Data Structures, OOP, Software Design, Operating Systems, and Applied AI.
Leadership: regular team lead for group projects across coursework.
Business and Data Analysis
I took a company's talent site from 313 to about 2,792 live profiles in 9 days, and audited 5,000+ documents along the way.
Computer Engineering student at MapĂșa University with an AI specialization and over a year of paid remote work in research and data operations.
Coursework: Data Structures, OOP, Software Design, Operating Systems, and Applied AI.
Leadership: regular team lead for group projects across coursework.
Researches products and competitors for international clients and wrote a lead generation playbook for a client.
A repeatable way to source, vet, and shortlist creators across three platforms, with my own scraper behind it.
Read case study >A Chrome extension that took a company site past the CEO's target in 9 days.
Read case study >Weekly sponsor, university, and podcast lead pipelines that feed the CEO's outreach.
Read case study >Turning quick chat requests into booked, confirmed outcomes, with every task tracked in one logbook.
Read case study >Cleaned and audited a 303-patient clinical dataset, then tuned a logistic regression model that caught 96.4% of heart disease cases with 86.9% accuracy against a 54.1% baseline, and grouped patients with K-Means.
Built a RAG web app that recommends college courses from a student's strand, grades, and goals by searching CHED and DepEd documents with a local language model.
Built a wearable that turns factory sounds into vibration alerts for deaf operators, with TinyML models trained in Azure Machine Learning that run on the device offline.
A job alert bot that watches OnlineJobs.ph for new postings, filters them with keyword lists I control, sends alerts to Telegram, and prepares application drafts. It already works, and I keep adding features.
Fine-tuned and compared ResNet50 and MobileNetV3 on 2,744 flower images in 5 classes, recommending MobileNetV3 at 92.72% test accuracy while being 5.5x smaller and faster per image.
Designed and built the activity logging feature of a wellness challenge app with the Strategy pattern, input checks, and atomic saves, and fixed a save-order bug, passing all 18 tests.
Also: market and competitor analysis, report writing, process documentation, data validation, and KPI tracking.
I like building things that make repetitive work easier, and I take apart and rebuild plenty of other things too.


The quickest ways to reach me are email and WhatsApp.