Professional
Digital Simulations Team, Lockheed Martin Corporation, Camden, NJ
Software Engineer; Associate Member Engineering Staff (E1)
January 2025--Present
- - Engineered a low-fidelity component factory enabling rapid prototyping of simulation components with variable parameters. Greatly accelerated early-stage testing by bypassing the overhead of the high-fidelity main simulation. To keep the factory low-effort, I developed a multitude of workarounds; debugging them became the main blocker to integrating the system.
- - Refactored the simulationā€™s communication system into a scalable message processor. Significantly reduced the maintenance required to add new messages by planning for growth. I achieved this extensibility by implementing a queue-based buffer that leveraged generic types. Authored user guides and maintenance documentation to support team adoption.
- - Architected a loosely coupled external interface to bridge the simulation with an external component. Enabled customer-specific software deployments by making the interface easily removable. I heavily abstracted and encapsulated the component by wrapping its functionality into new operations. This allows the system to utilize the component's functionality without needing to understand its inner workings.
Academic
High-Performance Data Mining Lab, Rowan University, Glassboro, NJ
Project Manager, "GPU Based Graph Mining"; Research Assistant
October 2022--January 2025
- - Led a multi-year research project to develop the first GPU-accelerated algorithm for the NP-Hard maximal š¯›¾-quasi-clique problem. Programmed an algorithm 3,992x faster than the CPU baseline; the related paper was published in a top conference. We invented novel data structures and processes to enable the transition to the GPU. We further optimized the algorithm by leveraging parallel distributed techniques, specifically a three-way handshake approach that uses up to 4 GPUs simultaneously.
Computer Science Department, Rowan University, Glassboro, NJ
Tutor, Computer Science and Mathematics
January 2023--January 2025
- - Provide individualized guidance to students by helping them understand key theoretical concepts.
- - Walk students through their homework while asking questions to reveal the logic behind the answer.
- - Supervise a walk-in tutoring room and assist numerous students with various courses simultaneously.
Computer Science Department, Rowan University, Glassboro, NJ
Learning Assistant, Object-Oriented Programming
January 2023--January 2025
- - Support the professor by providing assistance to students during the programming lab.
- - Mentor students to help them reach their academic goals by sharing my extensive experience.