Computer Engineering graduate seeking roles as an AI Developer or Data Scientist.
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Download Resume PDFThe A.I. Image Generator is built using React for the frontend and FastAPI for the backend, leveraging Stable Diffusion as the core model. In the first part, users can generate images from text prompts (text-to-image). The second part introduces an interactive brush tool, allowing users to draw directly on the generated image. Finally, in the third part, users can provide a new prompt to edit only the painted areas while preserving the rest of the image unchanged, enabling precise and creative control over image modifications.
Created a multi-agent, multi-tool AI system using LangChain and LangGraph, powered by OpenAI. The system features text-to-speech and speech-to-text capabilities using OpenAI models. It includes functionality to add or remove reservations, and it actively tracks token usage and associated OpenAI API costs. A React-based front-end ensures a user-friendly experience, while a FastAPI backend handles chatbot responses and business logic. The application is hosted on AWS for scalability and reliability.
This project was developed during my On-the-Job Training (OJT) at Lightweight Solutions, as part of their Research and Development (R&D) initiatives. I built a multi-agent AI chatbot using Streamlit, LangChain, and LangGraph. The system started with a locally hosted LLM and was later upgraded by integrating the ChatGPT API for better performance. It features specialized agents for document ingestion, retrieval-augmented generation (RAG) search, and contextual question answering.
AlgSat was developed as part of my final project for my Computer Engineering degree, in collaboration with the Laguna Lake Development Authority (LLDA). It is a web application that features a digital twin of Laguna Lake, designed to visualize estimated water quality parameters and algal bloom coverage. The system uses deep learning models trained on high-resolution satellite imagery to achieve enhanced spatial and temporal resolution for environmental monitoring, and also provides an action plan depending on the results.
This Exercise Posture AI App was developed as the final project for the Data Science track, a set of three elective courses in my Computer Engineering degree. Built in Unity, the application uses real-time pose detection through computer vision to analyze workout posture. It provides instant feedback to help users correct their form and maintain proper exercise technique during workouts.
This Quantum Circuit Simulator was developed as the final project for my Computer Engineering course on Emerging Technologies, which focused on Quantum Computing. It features a Unity-based frontend connected to a Python backend powered by Qiskit, enabling real-time simulation of quantum circuits. The simulator also includes a sandbox mode where users can interactively design and test custom quantum logic gates and circuits.