Vien Tran

Intro

An aspiring student from Georgia Tech willing to improve his endeavors in all realms. Be it the physical realm of combat competing against monstrous athletes' or learning the intricate world of technology and engineering, the endless amount of potential is always unraveling till the end. My academic journey reflects a strong foundation in Computer Engineering, with significant project experience in robotics through my involvement with RoboNAV. Alongside my technical pursuits, I am deeply committed to my Islamic faith, serving as the Content Director and Technical Editor at the Najam Institute, where I focus on community upliftment through innovative solutions. My career trajectory is driven by a passion for technology and a dedication to making impactful contributions in dynamic environments.

Education

Experience

Developed a smart boxing tracking device that measures key metrics like power, speed, and force, and transmits data in real-time via Bluetooth to a smartphone app. Enhanced the accuracy of impact measurements up to 109 Pa through refined product testing, ensuring both device durability and user comfort. Led product launch and marketing efforts, positioning the device as a valuable tool for professional training in boxing gyms, while also promoting its appeal to individual fitness enthusiasts looking to improve their performance.

During my internship as an Analyst Lead for RTC Information Systems at OMOMI Industries / OLTS, I enhanced operational efficiency and supported strategic decision-making by coordinating transportation logistics, analyzing data, and generating optimization reports, which improved delivery times and reduced costs.

Refined and optimized hardware for delivery drones capable of picking up and delivering packages on campus. Led troubleshooting and repair of electrical components and circuits, improving the drone's performance, durability, modularity, and reliability. Additionally, contributed to the development of an improved drone carrier design to enhance delivery efficiency.

Projects

The project involves developing an AI chatbot that has progressed through several levels of complexity. Starting with a basic chatbot structure and input handling, the project evolved by integrating OpenAI's GPT-4 model for intelligent responses, deploying the web app on AWS EC2, and optimizing it using AWS Bedrock and RAG (Retrieval-Augmented Generation) for knowledge-based responses. The final implementation leverages various AWS services, Next.js, and Pinecone for efficient data handling and vectorization, resulting in a sophisticated, scalable chatbot capable of intelligent, context-aware interactions.

• Video DEMO

Project involved developing a fully interactive game on a custom-built embedded system, utilizing C programming and advanced data structures like a double linked list for efficient memory management

• Video DEMO

Developed a comprehensive MIPS project that performs a binary search on DNA sequences, focusing on efficiency by reducing the dynamic instruction count by 50% and minimizing the static instruction count by 41%.

Contact

• GitHub

• Resume

Element

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';