About Me
I’m a technical support professional with hands-on experience in software development, aiming to transition into full-time development. I’m committed to mastering new technologies, creating reliable software, and prioritizing digital security.
Key Skills
Object-Oriented Programming: Defined classes and methods, handled events and messages, and programmed to interfaces/APIs.
Software Development and Testing: Followed coding standards, wrote and executed unit tests, participated in code reviews, and conducted various testing phases (integration, acceptance, capacity)
Development Methodologies: Worked with Agile methodologies (e.g., Scrum) and Waterfall
Projects
My projects demonstrate a blend of creativity and technical expertise, showcasing my ability to work across different development stacks. From building a full-stack AWS application for trucker rewards and shopping to creating an ASL Hand Interpreter using Python and Google AI, I thrive in diverse, complex environments. These experiences, alongside developing classic games like Pong in C++, reflect my commitment to problem-solving and innovative software solutions.
Full Stack AWS Web Application
A comprehensive trucker rewards application built on AWS is designed to reward truckers for good driving. Points accrued will allow truckers to choose rewards from a catalog set by their sponsors, which is built from an API.
Responsible for designing, implementing, and deploying the application on AWS.
Technologies included: AWS (Lambda, DynamoDB, S3), Python, JavaScript, RESTful, React, API Integration.
Pong Game Using C++
A retro-style Pong game developed in C++ with the Game Lib library, designed to replicate the classic gaming experience. The game features smooth controls, precise collision detection, and a dynamic scoreboard to keep track of player scores.
Responsible for designing and codign game mechanics, including player movement, ball physics, and responsive collision handling.
Technologies Included: C++, Game Lib, Object-Oriented Programming, Event Handling, Game Loop Logic.
American Sign Language Interpreter
A Python-based American Sign Language (ASL) interpreter that uses Google AI to recognize and translate hand gestures into text, designed to bridge communication gaps for ASL users. The application processes real-time video input, identifying hand gestures with high accuracy and translating them instantly.
Responsible for developing the gesture recognition model, integrating Google AI tools, and implementing real-time video processing.
Technologies included: Python, Google AI, OpenCV, Machine Learning, Real-Time Video Processing, Gesture Recognition.