I'm a graduating student of National University Manila studying Bachelor of Science in Computer Engineering. Even though I'm still a student I use and show my skills on what I've learned through my experiences. I love to create solutions from problems by making systems, database, automation and software. I'm a technophile I try to learn new things and explore about new software, systems, robotics, AI's and etc. Through work I want to utilize my technical and management skills for achieving the target and developing the best performance in an organization. I would like to implement my innovative ideas, skills and creativity for accomplishing the projects.
My favorite languages where I excel mostly for systems programming, software engineering, and data analysis.
My preferred languages/technologies for front-end web development and component design.
My preferred languages/technologies technologies for back-end web programming and database architecture.
Other technologies and programs that I used
The Gender and Age Video Player is an innovative application that utilizes face detection technology to analyze users' age and gender, enabling it to recommend personalized video content. This project reflects my passion for programming, as I merged it with the latest advancements in computer vision and user personalization. It showcases my problem-solving skills and demonstrates my ability to create engaging and customized solutions, resulting in a seamless fusion of technology and entertainment.
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FoodCavernPH, a revolutionary food ordering web application powered by Django. This innovative platform simplifies the user experience by allowing them to effortlessly browse, select, and order their favorite dishes from various food stalls, eliminating the hassle of long queues. With real-time order tracking, FoodCavernPH ensures prompt and seamless delivery, redefining the way we interact with food stalls.
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I developed a responsive personal portfolio website that offers an interactive experience for visitors, allowing them to explore my information independently. With features inspired by WhatsApp, visitors can easily contact me and engage in real-time conversations, while my focus on improving my JavaScript skills resulted in a polished and innovative website.
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Introducing the Customer Service Complaint Classifier, a project driven by my passion to enhance chat support systems. Using a trained RNN LSTM model, this innovative solution accurately detects and classifies customer complaints into categories such as 'credit_card', 'credit_reporting', 'debt_collection', 'mortgages_and_loans', and 'retail_banking'. With an impressive 93% accuracy rate, this project revolutionizes the complaint resolution process, empowering customer support teams to provide faster and more efficient assistance.
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This personal project was made and improved based on our subject course for Javascript. This project has a built-in shopping cart system for the user to modify and add some items if wanted to. It is a very common website but all is made for frontend. Backend can be tricky to deploy online. You can check it out if you want to test it.
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I developed a Home Automation Systems prototype through Tinkercad and Arduino. I use electronic components to test and deploy my program to the microcontroller. I was instructed to make a Home Automation System based on using Cheap and Advanced electronic devices respectively. Make a system that could control the devices in every room in every part of the house.
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