I create seamless, robust, and innovative web solutions from front to back.
I'm Daniel Bird, a recent graduate with a Bachelor's degree in Computer Science. My passion lies in problem-solving and creating innovative solutions that make people's lives easier.
Throughout my internships, I have gained valuable experience in developing web applications and exploring the potential of Artificial Intelligence and machine learning. I am particularly excited about how these technologies can shape the future and improve everyday experiences.
Starting this fall, I will be pursuing my Master's in Computer Science through Georgia Tech's online program, likely specializing in machine learning to further deepen my knownledge in this field.
When I'm not coding, I enjoy spending time working towards my fitness goals and with family and friends.
Built an accountability web app using React for users to track goals and compete with friends, increasing productivity.
Developed secure user authentication with Node.js, ensuring safe access to goal-tracking features to protect user data.
Led team of 4 engineers to build a decentralized ticket platform using Mode Network to reduce fees and prevent fraud.
Designed project architecture using a tech stack of React, Node.js, Python, Solidity, to ensure secure and scalable blockchain ticket transactions.
Optimized attorney workflow by designing an intuitive UI to display key metrics on client projects and attorney efficiency, increasing productivity for legal professionals.
Implemented SSO authentication with Auth0, ensuring access to attorney efficiency dashboards, protecting legal data.
Developed a Telegram bot using Python, delivering crypto alerts every 10 minutes, improving user decision-making.
Implemented MySQL to store and retrieve user data for crypto alerts, ensuring secure storage and efficient access.
Developed a web app that visually calculates and displays plates for a desired weight, removing the guesswork between sets.
Designed a web app that calculates one-rep max and weight for specific reps, helping users optimize their strength training programming.
Built an interactive machine learning project using Python and Logistic Regression that recommends cities to users based on their preferred search criteria.
Project instructions and documentation
In the process of building an interactive platform for users to design, customize, and save workout programs and log workout data (weight, reps, sets) to track progress toward fitness goals.