Former SCRD Aerostructures Lead and current Propulsion member. He has industry internship experience at Pratt & Whitney, Siemens Energy and Reaction Dynamics, along with research experience under Dr. Mousa Tembely and Dr. Charles Kiyanda. His background spans aerostructural design, propulsion systems, and applied engineering research.

Former SCRD Camera Bay Lead with industry experience at Pratt & Whitney. In 2024, he contributed to the design of a rocket engine injector with film-cooling capability as part of a research project supervised by Dr. Jerin John.

Former SCRD Propulsion Co-Lead with experience in both 1D CFD from industry internships and 3D CFD from academic and student-led projects. He also brings design and limited manufacturing experience from a research internship with Dr. Charles Kiyanda.

Current SCRD Propulsion member with hands-on experience in hot-fire test campaigns, including thrust deflector and combustion chamber construction. He has completed internships at Pratt & Whitney, Airbus, and L3Harris, working on logistics supervision, acoustic analysis tools, and systems-level design. He contributes strong technical writing and analytical skills to combustion and fluid dynamics efforts.

Current SCRD Propulsion member with industry experience at Pratt & Whitney and academic research experience at Université de Sherbrooke as an aeroacoustics research intern, as well as at Concordia University as a turbulence research intern. He brings proficiency in high-fidelity CFD and advanced flow analysis. 

Has industry experience at Amazon Web Services and SwiftConnect, where he worked on event-driven data pipelines and high-availability backend systems. He brings additional experience in real-time embedded systems using QNX RTOS, along with strong skills in fault-tolerant software design applicable to engine control and safety-critical systems.

Former HackConcordia Technical Director and second-place recipient in the COEN/ELEC Mini Capstone competition for PostureFit. He has industry experience at Bombardier as a machine learning engineer, where he worked on processing aircraft sensor data and developing airspeed prediction machine learning models.