Data & AI Engineer
Building intelligent solutions through data analysis, machine learning, and AI-powered applications. Transforming complex data into actionable insights.
Combining data engineering fundamentals with modern AI capabilities to build end-to-end solutions.
Building data pipelines, performing exploratory analysis, and creating insightful visualizations that drive decision-making.
Developing AI-powered applications using state-of-the-art models from Hugging Face, OpenAI, and other providers.
Building modern web applications with React frontend and Flask/Python backend to deliver AI solutions to users.
Production websites and platforms I've built and deployed, serving real users.
Free, privacy-focused financial management tool with AI-powered insights. Track income, expenses, budgets, and goals — all data stays in your browser.
Curated directory of 200+ free AI tools for writing and content creation. Grammar checkers, summarizers, email generators — no registration required.
The largest collection of 129,000+ high-quality prompts for Midjourney and ChatGPT. Organized by category for creative and professional use.
Curated library of 2,600+ free n8n automation workflow templates. AI workflows, business automation, API integrations ready to use.
A collection of AI applications and data analysis projects showcasing practical solutions.
An in-depth exploratory data analysis of 41,544 Filipino households examining income distribution, spending patterns, and socioeconomic indicators from the 2015 Family Income and Expenditure Survey.
AI-powered image captioning using Hugging Face's BLIP model. Upload images and get descriptive captions generated automatically.
Building agentic AI workflows using OpenRouter API with access to multiple AI models including OpenAI, Anthropic, and Google.
Extract skills, certifications, and organizations from resumes using BERT-based NER model. Supports PDF and text files.
A conversational AI chatbot built with DialoGPT-medium model, featuring real-time responses and a modern chat interface.
Real-time sentiment analysis that classifies user feedback as Positive, Negative, or Neutral with confidence scores.
Transform lengthy documents into concise summaries using Facebook's BART-large-CNN model for abstractive summarization.
Extract relevant keywords and categories from text using Facebook's BART-large-MNLI model for zero-shot classification.
Real-time translation tool using Helsinki-NLP's Opus-MT models supporting multiple language pairs.
Detect harmful, offensive, or abusive language in real-time using Unitary's toxic-bert model for content moderation.
Discover recipes based on ingredients you have at home, powered by Spoonacular API with a modern React interface.
Exploratory data analysis of 41,544 Filipino households examining income distribution, spending patterns, and socioeconomic indicators.
24-year time series analysis of 121,514 food price records examining inflation trends, regional disparities, and crisis impacts.
Comprehensive 52-topic analysis of DepEd enrollment and teacher data across 17 regions covering K-12 implementation, regional disparities, and COVID impact.
Comprehensive analysis of 1,000 most popular names examining gender patterns, cultural origins, naming conventions, and generational trends.
Comprehensive analysis of 447,000+ weather records from 138 cities examining temperature, rainfall, regional climate variations, and seasonal patterns.
Comprehensive analysis of 1,500 property listings examining prices, locations, property types, and market segments across Metro Manila and provinces.
Comprehensive analysis of 17,000+ MMDA traffic incidents examining accident hotspots, peak hours, vehicle types, and road safety patterns.
Comprehensive analysis of 23 major typhoons affecting 44 million Filipinos, examining regional vulnerability, damage patterns, and disaster trends.
Analysis of agricultural wages, farm household income, and employment patterns across 16 regions examining economic disparities and poverty indicators.
Comprehensive WHO health data analysis covering mortality, infectious diseases, child health, NCDs, TB, HIV/AIDS, and health systems spanning 1953-2019.
Analysis of 2.19 million OFWs: demographics, destinations, occupations, and PHP 262 billion in remittances from the PSA Survey on Overseas Filipinos.
Comprehensive analysis of the Philippines' COVID-19 pandemic: 4.1M cases, vaccination rollout, regional spread, ICU utilization, and socioeconomic impact from DOH data.
Seismic and volcanic activity analysis of the Philippines: earthquake frequency, magnitude patterns, fault zones, and monitoring of Taal, Mayon, and Pinatubo from USGS/PHIVOLCS data.
Agricultural output analysis covering rice, corn, coconut production, fisheries, livestock, yield trends, and regional farming patterns from PSA OpenStat data.
National budget analysis: PHP 5.768T allocation, sector spending, agency budgets, revenue sources, fiscal deficit trends, and regional per-capita spending from DBM data.
2022 national election analysis: presidential and VP vote shares, senatorial race, voter turnout, regional voting patterns, and party-list distribution from COMELEC data.
Digital connectivity analysis: internet penetration, broadband speeds, urban-rural divide, social media usage, e-commerce adoption, and telco market share from PSA/DICT data.
PSEi performance analysis: sector returns, market capitalization, trading volume, foreign vs local buying, dividend yields, and ASEAN index comparison from PHISIX data.
DTI CMCI analysis: top 20 cities ranking, 5-pillar scores (economic dynamism, governance, infrastructure, resiliency, innovation), and regional competitiveness patterns.
Transit network analysis: route distribution, rail line coverage, stop density by city, jeepney vs bus corridors, transfer hubs, and service coverage from Sakay.ph GTFS data.
I'm a Data & AI Engineer based in Talisay, Cebu, Philippines. I specialize in building intelligent solutions that combine data analytics with modern AI capabilities.
My work spans from traditional data analysis and visualization to developing AI-powered applications using state-of-the-art machine learning models. I'm passionate about making AI accessible and practical through well-designed applications.
I also have hands-on experience with fullstack development, AWS infrastructure, DNS/SSL configuration, and server management — though my primary focus is Data & AI. On the side, I run DailyScalper.net, a trading signals platform.
Interested in collaboration or just want to say hello? Feel free to reach out through any of these platforms.