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Ajeet Krishnasamy

Ajeet Krishnasamy

I am a Mechanical Engineering graduate specializing in CFD, FEA, and autonomous flight dynamics, with hands-on experience developing high-performance C++ physics solvers, Python simulation tools, and control systems.

I am passionate about modeling the aerodynamics of motorsport vehicles and aircraft, as well as exploring physics-informed simulation methods. My technical projects range from building custom C++ LBM and FEA solvers to developing decentralized multi-agent UAV swarm GNC architectures.

I am actively seeking roles in aerospace with a focus on space systems, and automotive with a focus on motorsports, where I can apply simulation-driven engineering to real-world vehicles and missions. Feel free to explore my complete project portfolio.

Resume.pdf | ajeetkrish@icloud.com | LinkedIn | GitHub
# Experience
Systems Engineer (Intern) | CenTrak
10/2020 - 09/2021 | Newtown, PA, United States
• Engineered automated reliability analysis pipelines for medical device telemetry, processing real-time performance data from 10,000+ RTLS tags to quantify failure rates and improve system monitoring precision.
• Developed automated performance dashboards for the Connect Pulse™ RTLS platform, enabling engineering teams to identify device degradation trends and reduce unplanned maintenance events.
• Conducted battery discharge and device health analysis across 5,000+ medical-grade IoT devices, identifying failure precursors and enabling predictive replacement scheduling that prevented equipment outages.
• Standardized structured query and analysis workflows for multi-terabyte RTLS datasets, reducing troubleshooting cycle time through automated anomaly detection and root-cause analysis scripts.

Systems Engineer (Intern) | CenTrak
05/2019 - 09/2019 | Newtown, PA, United States
• Performed system-level characterization of RTLS localization algorithms using statistical regression analysis, identifying coverage gaps and refining location accuracy through receiver parameter tuning.
• Designed and executed validation test protocols for RTLS hardware deployment, correlating laboratory calibration data with field performance metrics to close the lab-to-field validation gap.
• Synthesized system performance data into technical recommendations for hardware upgrades and feature rollouts, supporting engineering decisions with quantitative evidence.
# Technical Skills
Aerodynamics & CFD: ANSYS CFD, STAR-CCM+, SU2, OpenFOAM, Gmsh, ParaView
Programming & CAD/FEA: Python, C++, MATLAB, SolidWorks, Autodesk Fusion, Git, CMake
GNC: LQR Optimal Control, State-Space Dynamics, APF Guidance, Graph Laplacian, Monte Carlo Analysis
Manufacturing: CNC Machining, 3D Printing, Lathe & Mill Operations, MIG Welding
# Education
University of Ottawa
Ottawa, ON, Canada | May 2026
Degree: Bachelor of Applied Science (BASc)
Major: Biomedical Mechanical Engineering
Coursework: Fluid Mechanics, Heat Transfer, Control Systems, Vibration Analysis, Machine Design, CAD/FEA
Accreditation: CEAB-accredited; ABET-equivalent