Srivishnu Addala

Engineered, simulated, and manufactured the inaugural composite aerodynamic component in program history using SOLIDWORKS Flow Simulation, establishing the baseline computational fluid dynamics (CFD) pipeline for the EV chassis. Collaborated with chassis and suspension teams to ensure aerodynamic integration and structural compatibility. Optimized multi-element endplate geometries through iterative CFD testing, successfully reducing aerodynamic drag by 10 lbs while increasing net downforce by 20 lbs.

Aerodynamics Rear Wing Subteam Lead - Formula SAE Electric Team

(2025-08)

• Engineered, simulated, and manufactured the inaugural composite aerodynamic component in program history using SOLIDWORKS Flow Simulation, establishing the baseline computational fluid dynamics (CFD) pipeline for the EV chassis.
• Collaborated with chassis and suspension teams to ensure aerodynamic integration and structural compatibility.
• Optimized multi-element endplate geometries through iterative CFD testing, successfully reducing aerodynamic drag by 10 lbs while increasing net downforce by 20 lbs.

Structures & Environments Subteam - UC Merced CubeSat Team

(2025-08)

• Executed structural and environmental material trade studies between Al 6061-T6 and Al 7075-T6 to optimize structural payload resonance, thermal deflection, and yield-to-weight ratios.
• Gaining hands-on experience in systems engineering, CAD modeling, Ansys STK and project documentation.
• Developing technical and teamwork skills, while contributing to design and subsystem discussions.

Food Delivery Robot Project – Design Team Lead - ASME

(2025-08)

• Directing a 15-person cross-functional engineering team through the full product lifecycle (cradle-to-prototype) of an autonomous campus delivery vehicle.
• Managing systems integration, manufacturing timelines, and milestone allocations across three mechanical subteams to mitigate deployment delays.
• CAD modeling, design-for-manufacture, and project management principles to guide design reviews and technical decision-making.

Predictive Vehicle Telemetry & Performance Modeling - Independent

(2026-06 - 2026-08)

• Engineered a statistical predictive model in R to process vehicle telemetry streams, converting real-time track data into actionable lap-time delta and strategy outputs.
• Applied non-linear regression and time-series analysis to model tire thermal degradation, aerodynamic drag penalties, and track evolution thresholds.
• Developed predictive algorithms to identify qualifying time cutoff windows based on sensor data.

Bachelor of Science - Mechanical Engineering, Aerospace Engineering Emphasis - University of California, Merced (2029-05)