Fake News Detector

Interactive web application classifying fake news.

Animal Crossing Turnip Analysis

Did an analysis on turnip prices in Animal Crossing New Horizons (ACNH). You’ll get Fluctuating pattern most of the time.

Power Demand Forecasting

Our thesis for the Master of Science in Data Science program.

Crowd Evacuation Dynamics

Created a cellular automata model that simulates how people evacuate in the case of a fire emergency.

Network Analysis of the Philippine Stock Market

Analyzing the PSE using network science.

Subreddit Recommender System

Recommend new subreddits.

Civilization Simulation

Created a cellular automata model that simulates how different human races propagate.


Deep-Learning based Skin Cancer Detection

X-Ray Machine Vision

Web application for detecting cancer given x-ray images

Global Inequality Visualization

Interactive web application showing the GDP per capita in different countries.

Generating Music using AI

Generating musical notes based on preceding notes.

Identification of People’s Interests Using Emoji

Using Data Mining techniques on tweets to identify people’s interests.

LRT Buddy

Improving Train Customer Experience Through Data Science and Insights.

Donors Choose Recommendation System

Help connect donors with projects they care about.

Sea Level Prediction

Predicting tidal range using historical data.


A Hardware Interface for Algorithm-based Chord Recognition.


ML HackFest 2019 Grand Champion

Participated in the DATOS challenge and was tasked to do semantic segmentation, which is a pixel-wise classification, on satellite images provided by DOST-ASTI (Advanced Science And Technology Institute). The aim is to identify the following classes in an image: Bare Land, Agricultural Areas, Low Density Vegetation, High Density Vegetation, Water Shadows, Urban, Clouds, and Haze. We developed a deep learning model for this, and we got 69% and 67% accuracy on 30% and 70% of the test set respectively.

Open Climate Collabathon - Community-Choice and Most Effective Hack Award

Our team has created CLIMETRICS: a platform that measures companies’ carbon footprint, asset insights, stock trends, and social media impact in our efforts to promote global sustainability.

AI for Accessibility Hackathon PH - Second Place

Created a computer vision program to assist blind people in payment.

ADB-AIM Hackathon Finalist

One of the Top 5 finalists in the Digital Skills category of the competition.

Break the Fake Hackathon Finalist

Created a fake news detector application for this competition

Honor with High Distinction

Received the highest academic award in the first cohort of Master of Science in Data Science in AIM.

CGPA: 4.5 / 5.0

Dean’s Lister

Consistent Dean’s Lister throughout the Master of Science in Data Science program.

Hackatren Finalist

Created LRT Buddy, an LRT chatbot, for this competition

Excellence in Tutoring and Most Active Officer

I was acting as the Vice President for External Affairs for this organization in De La Salle University.

Accenture Program the Future Finalist

Created Phirelert, a fire incident monitoring application, for this competition



Assistant Professorial Lecturer

De La Salle University

Jun 2020 – Present Manila, Philippines
Responsibilities include:

  • Lectures Natural Language Processing course for Master of Science in Computer Science students.

Youth for Sustainable Cities Ambassador


Jan 2020 – Present Makati, Philippines
  • Project Lead for the event entitled Sensefiction: Cultivating the Future of the Philippines.

Emerging Technology Engineer (Artificial Intelligence / Machine Learning)

Asian Development Bank

Nov 2019 – Present Mandaluyong, Philippines

Consultant for emerging technologies specializing on Machine Learning / Artificial Intelligence.

Some notable works:

  • Acted as the lead data scientist for an NLP deep learning project: a lesson extraction model for the project completion reports of the Independent Evaluation Department (IED) in ADB.
  • Project Manager for a chatbot project.
  • Co-developed a facial recognition system. (Internal Project)


De La Salle University

Nov 2019 – Present Manila, Philippines
Instructor for data science diploma courses under Data Science Institute arm of DLSU.

Data Scientist

Vivant Corporation

Jul 2019 – Nov 2019 Makati, Philippines
Data science consultant. Responsibilities include:

  • Portfolio Modelling
  • Forecasting
  • Application Development

Software Developer


Apr 2017 – Mar 2018 Makati, Philippines
Developed mobile applications for Cebu Pacific and GoAir.

Software Engineer Intern

Samsung Research and Development Institute

May 2015 – Jul 2015 Taguig, Philippines
Developed mobile applications in Tizen and Android OS.


Databases and SQL for Data Science

See certificate

Neural Networks and Deep Learning

See certificate

Artificial Intelligence Summer School

Speaking Engagements

Innovation on the New Normal - How Emerging Technologies will Help Shape Needs post-Covid.

Seminar and workshop about NLP fundamentals.

Seminar and workshop about Industry 4.0, Data Science, and data-driven decision making.

Seminar about artificial intelligence.

Seminar about developing mobile applications using Xamarin.