Experience - Alex Trbovic

Florida State University • December 2024 – Present

Designed and simulated quantum circuits to explore strategy optimizations in multi-party quantum games, utilizing Qiskit and Python for implementation
Completed IBM Qiskit courses to develop a deep understanding of quantum circuit design, quantum algorithms, and their applications in quantum games
Investigating optimal strategies for nonlocal games such as the CHSH game and beyond, leveraging quantum entanglement to improve outcomes

Raymond James • St Petersburg, Florida • May 2024 – August 2024

Developed and maintained enterprise-level web applications used by financial advisors to analyze international settlements using Java, Angular, Spring Boot, Maven, and Gradle, ensuring high performance and scalability
Optimized REST API endpoints by implementing pagination and database indexing, reducing response time by 25%
Conducted thorough unit testing using JUnit, resulting in a 30% reduction in production bugs and enhanced reliability
Contributed to the development of a trade clearance application that processed millions of dollars in international settlements daily, supporting a team of 25 financial analysts in optimizing trade reconciliation and decision-making

Florida State University • Tallahassee, Florida • August 2023 – December 2024

Engineered a convolutional neural network via TensorFlow to calculate a "threatening index," representing the probability of a Defensive Team player acting as a tackler in real-time sports scenarios
Cleaned, processed, and analyzed over ten gigabytes of data in .csv format with Python, extracting vital information and preparing data to be trained on a convolutional neural network via TensorFlow
Implemented a tackling probability visualization to present NFL Databowl findings to stakeholders; utilized NumPy, Pandas, and Matplotlib
Created a Selenium web scraper to collect NFL players' statistics such as total tackles, years in the NFL, and other key metrics for the 2018 - 2023 seasons, scraping over 3,000 pages for data

Florida State University • Tallahassee, Florida • September 2022 – May 2024

Led the development of insightful dashboards used to process, analyze, and visualize absorption, photoluminescence, and Raman data, using Python, Pandas, and Matplotlib
Developed a spectroscopy application using LabVIEW that significantly enhanced the speed of spectral data collection by 80%, improving overall research efficiency
Developed bash scripts to automate job submission for FSU's high-performance computing cluster using Slurm

FAMU-FSU College of Engineering • Tallahassee, Florida • May 2023 – August 2023

Updated the architecture of a C++ 17 application to incorporate PostgreSQL, reducing application runtime by 63%
Leveraged Pandas and Matplotlib to analyze and visualize NFL data, extracting key trends to support decision-making

Emerson Electric • Palm Beach Gardens, Florida • January 2022 – August 2022

Conducted hardware and software validation testing on IoT sensors used in shipping containers, optimizing power efficiency and extending battery life by 15% through data analysis with SQL, VBA, and Python
Collaborated with cross-functional teams including Engineering, Quality Assurance, and Sales to ensure products met customer requirements and were delivered on time

Professional Experience