Experience
Lockheed Martin — Quality Engineer, Automation (Part-Time) (Dec 2025 - Present)
I work in Lockheed Martin’s Sensors Integration and Test Center, supporting Quality Engineering automation with industrial robotics and optical and photonic sensors.
Laboratory for Interaction of Machine and Brain (LIMB) — Undergraduate Research Assistant (Jul 2025 – Present)
In the LIMB Lab under Dr. Mohsen Rakhshan, I work on intelligent robotic control systems that combine machine learning, EMG signal processing, and embedded programming. My work spans Python-based data processing, C++ microcontroller development, and ML models for interpreting muscle activity and controlling a prosthetic hand. I collaborate closely with my team on designing, testing, and refining software across the full pipeline, from data acquisition to real-time control.
UCF Information Technology — Information Technology Intern (Apr 2025 – Jul 2025)
At UCF IT, I helped overhaul web infrastructure used by more than 80,000 users, working with IT engineers to reorganize site content and update parts of the platform's underlying structure.
Projects
Panama Canal Water Conservation (Goldilocks) (View Project) (Jan 2025 – Apr 2025)
Goldilocks is a Department of Defense–sponsored project developed through the University of Central Florida’s Entrepreneurship for Defense course, a DoD initiative run in partnership with the National Security Innovation Network (NSIN). Conducted in collaboration with U.S. Southern Command (SOUTHCOM), the Defense Innovation Unit (DIU), and a multidisciplinary student engineering team, the project focused on freshwater conservation in the Panama Canal.
I developed a C# Unity simulation of Canal operations and a Python analysis tool for throughput modeling, estimating a 10% performance gain and more than $250M in annual savings from the proposed changes. I also incorporated feedback from over 20 stakeholders into the system assumptions and design.
Lane Detection & Warning System (View Project) (May 2025 – Jul 2025)
A lane detection system built for deployment in an RV, designed to provide real-time lane tracking and departure alerts. It supports both classical computer vision methods and deep learning–based approaches, depending on the available compute. The project was part of a broader RV automation effort that included additional components such as sensor integration, control logic, and a user interface, but this section focuses on the lane detection and vision pipeline I developed.
Bioinformatics Research Project (View Project) (Aug 2025 – Present)
In my bioinformatics work, I use Python and Jupyter Notebook to apply machine learning, deep learning, and statistical methods to biological datasets with more than 10,000 samples. My workflow relies on NumPy, Pandas, SciPy, scikit-learn, PyTorch, and Matplotlib for data integration, preprocessing, feature extraction, and predictive modeling across biological and omics data.
Education
University of Central Florida — Bachelor of Science in Computer Science (Expected Graduation May 2028)
Minors: Intelligent Robotic Systems, Cognitive Science
Relevant Coursework: Data Structures and Algorithms (COP3502), Bioinformatics (CAP5510)
Contact
Email: josephletobar@gmail.com
GitHub: github.com/josephletobar
LinkedIn: linkedin.com/in/josephletobar