Computer Engineer Alumni @TMU

● Capstone project in Computer Engineering at TMU.
● Worked with three colleagues to create a mind-controlled wheelchair by collecting data from an EEG sensor, pre-processing it in MATLAB, and processing it in C++.
● Created a machine learning algorithm that classifies the processed signal based on the extracted features and determines where the person is thinking to move (forward, right, left, backward, stop).
● Machine learning algorithm decision is then sent to the Arduino through GPIO pins to make the robot perform the action.
● Created code for Arduino to receive movement signals through GPIO pins and perform the action.

● Developed a scalable and dynamic Vue v.3 prototype incorporating essential features including real-time date & time display using the date-fns library. Vue v.3 prototype incorporating essential features including real-time date and time display using the date-fns library.
● Designed an intuitive navigation bar and individual Vue components for seamless user experience, featuring pages for About Us, Our Services, and Our Customers.
● Implemented asynchronous data fetching method to display temperature utilizing Open Weather Map API.

● Integrated third-party APIs and services, such as Google Calendar or JIRA, to extend the bot's capabilities and enable seamless interaction with external tools and platforms.
● Spearheaded the development of a Slack bot to streamline communication and enhance productivity within the team environment, leveraging the Slack API and Python programming language.
● Conducted thorough testing, debugging, and performance optimization to deliver a robust and reliable Slack bot solution, enhancing team collaboration and efficiency while minimizing manual tasks.
● Customized the bot to automate routine tasks and workflows, reducing the need for manual intervention and allowing team members to focus on more strategic activities.

● Designed and implemented autonomous navigation, edge detection, and obstacle avoidance, demonstrating a deep understanding of sensor fusion techniques to enable the robot to navigate complex environments seamlessly.
● Led a multidisciplinary team in the development of an autonomous robot, showcasing strong project management skills, technical expertise, and collaboration with hardware and software engineers to achieve successful integration & functionality.
● Implemented real-time data processing algorithms to analyze sensor outputs, enhancing the robot’s decision-making capabilities in dynamic environments.
● Developed and fine-tuned PID control systems to maintain stable and accurate navigation, significantly improving the robot's responsiveness to environmental changes.
● Coordinated rigorous testing phases, including field trials to validate the robot’s performance under real-world conditions, ensuring reliability and safety.

● Assembled Home NAS machine using enterprise-grade hardware and TrueNAS core/scale as the operating system.
● Created an SMB share (protocol) and set permission in TrueNAS.
● Configured and maintained TrueNAS Core/Scale environments, optimizing system performance and ensuring reliable data storage capabilities.

● Installed Ubuntu server onto Raspberry Pi 4 & installed docker with portainer as a management UI.
● Configured Vaultwarden for self-hosted password management & configured Jellyfin/Plex for a self-hosted media server.
● Implemented comprehensive backup strategies and security measures for all hosted services to protect against data loss and unauthorized access.

● Developed a robust site surveillance system using YOLO and Haar Cascades algorithms for efficient user detection in images and live video feeds.
● Demonstrated proficiency in real-time monitoring by enabling live video streaming with user detection capabilities in addition to recorded video files.
● Showcased strong technical skills in Python programming and OpenCV for effective implementation of computer vision technologies in the project.
● Optimized detection algorithms to reduce false positives and improve the accuracy of user identification in diverse lighting and environmental conditions.

● Designed and implemented a streamlined SQLite database, focusing on essential data structures with carefully selected attributes, entities, and relationships to optimize performance and maintainability for a specific business application.
● Developed a comprehensive Entity-Relationship (ER) diagram that visually represented the database structure, including all entities, attributes, and their interconnections, which facilitated clear understanding and communication of the database schema to users.
● Formulated and tested complex SQL queries tailored to retrieve data effectively from the structured database enabling critical data analysis.

● Successfully designed and implemented a mockup of a media center on an ARM-based microcontroller, utilizing embedded system design approaches and the MCB1700 ARM Cortex-M3 development board.
● Implemented two games, "Tic Tac Toe" and "Flappy Bird," utilizing a joystick for user interaction.
● Created a photo gallery and MP3 player functionality, allowing USB connection and audio playback from a computer.
● Conducted comprehensive testing, including unit and integration tests, to validate the functionality of games, photo gallery, and MP3 player, resulting in a reliable and user-friendly system.

● Collaborated with a team of 3 peers to develop a bookstore application utilizing JavaFX and implemented an optimized design pattern to enhance runtime and performance.
● Created and developed the Use Case Diagram as part of the design process.
● Integrated advanced search functionality with filters for genre, author, and title to enhance user navigation and interaction as part of the project requirements.