Mechanical Engineering Junior at Loyola Marymount University with hands-on experience in thermal management, cooling systems, and test engineering.
Skilled in CAD (SolidWorks), multi-channel data acquisition, instrumentation, and fluid systems. Experienced in designing prototypes, thermal rigs, and IoT sensor hardware configuration and validation.
Education
B.S. Mechanical Engineering, LMU '27
Recognition
CONRAD Challenge Winner
Research
RAINS Undergraduate Fellow
- Engineered thermal management hardware, designing a custom high-resolution DAQ system to replace commercial LabJack modules, enabling multi-channel, low-noise temperature acquisition from 13+ embedded Type-K thermocouples.
- Developed MATLAB analytics pipelines for transient heat-flux modeling, 3D temperature mapping, and automated anomaly detection, significantly improving multi-sensor data fidelity.
- Designed and fabricated a 1/5-scale spray-cooling test platform, integrating water recirculation, precision actuation, and modular experimental housings to evaluate high-heat-flux cooling performance.
- Implemented fluid actuation control using a 12V solenoid, demonstrating closed-loop automation capability for experimental flow regulation and thermal system response testing.
- Led a team to develop three operational prototypes of a wearable LiDAR-based navigation device for the visually impaired.
- Engineered a LiDAR–microcontroller–audio feedback system, integrating sensing, signal processing, and real-time guidance algorithms.
- Won the CONRAD Challenge category out of 130+ global teams, advancing through multiple stages of technical and market evaluation.
- Secured a provisional patent for the assistive device in India, demonstrating novel engineering design and commercialization potential.
- Invited back as a Global Innovation Summit Judge, evaluating high-impact aerospace and aviation proposals from international teams.
- Provided technical mentorship and strategic feedback to four finalist teams, assessing feasibility, engineering rigor, and innovation.
ParkingPal_Startup.SLDASM
Assembly DocumentDiscord_Bot.SLDASM
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Project Photos
JACK - Intelligent Temperature Monitoring System
JACK continuously monitors multiple thermocouples and uses a confidence-based algorithm to detect faulty sensors. When a sensor disagrees with others, JACK flags it and reduces its weight in calculations, displaying an asterisk (*) to indicate confidence mode is active. The LED indicator flashes when a sensor is flagged, and confidence levels automatically recover as sensors show reliable readings over time.