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Liliana Salunat

@lilianasalunat

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Computer science student who developed an SMS-based hydroponic drip system and explored satellite image classification.

Philippines

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What I'm looking for

I’m looking to use programming to support agencies and work on projects that value efficiency, authenticity, respect, and public service.

At Philippine Science High School, I developed an SMS-based hydroponic drip system using a microcontroller and GSM module to remotely manage watering and nutrient delivery. The system was designed to support farmers in remote areas with hydroponic monitoring and control.

As an intern at Philippine Space Agency, I annotated satellite images and ships, created image classification models with deep neural networks, and compared convolutional neural networks trained from scratch with transfer learning using VGG16 and Inceptionv3. I’m studying Computer Science at Ateneo de Manila University and have used Java and Python while working with agencies.

Experience

Work history, roles, and key accomplishments

Philippine Science High School | Researcher | SMS-Based Hydroponic Drip System

Philippine Science High School

Jan 2021 - Jan 2023 (2 years)

Developed SMS-based hydroponic drip system that uses a microcontroller and GSM module to remotely manage watering and nutrient delivery via SMS commands. Designed for farmers in remote areas, it offers efficient and reliable hydroponic monitoring and control.

Philippine Space Agency | Intern | Satellite Imaging & Deep Learning Projects

Philippine Space Agency

Jul 2022 - Aug 2022 (1 month)

Annotated 215+ satellite images and 1000+ ships using LabelImg and QGIS software

Created image classification models using MNIST datasets in deep neural networks

Compared the resulting performance of using convolutional neural networks from scratch and using transfer learning via VGG16 and Inceptionv3