Ravi Adluru

Ravi Adluru

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B.S. Aerospace Engineering at UT Austin | Seeking Internships and Research in Aerospace/Engineering Mechanics Fields
Austin, Texas, United States
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Résumé

Jobs verified_user 0% verified
  • S
    Simulation Engineer
    Sep 2024 - Current (2 years 1 month)
    Monte Carlo Flight Simulation
    • Developed Monte Carlo trajectory simulations (100+ iterations) in Python/RocketPy, propagating wind profile and thrust curve uncertainties to predict apogee and landing dispersion; cross-validated results against OpenRocket and RASAero
    • Built custom atmospheric wind model from Windy API datasets, interpolating pressure, temperature, and cardinal wind velocity profiles across altitude layers to reduce launch-day apogee prediction uncertainty and improve landing dispersion estimates
    • Delivered technical reports and dispersion plots using Matplotlib/Pandas to project leads, informing design decisions CFD Simulation
    • Ran external aerodynamics simulations in ANSYS Fluent (k-ω SST) across Mac
  • A
    Lab Event + Engineering Event + App Coordinator
    ATX Science Olympiad
    Aug 2024 - Current (2 years 2 months)
    • Coordinated logistics for 4 laboratory and 10 engineering events per tournament, ensuring smooth operations for over 1000 participants.
    • Managed equipment procurement and enforced safety policies, including PPE standards, to maintain a safe environment.
    • Developed and launched a mobile app using Flutter/Dart, providing real-time updates and schedules to enhance participant experience.
  • Shield AI
    Junior Manufacturing Engineer
    Shield AI
    Jun 2026 - Aug 2026 (3 months)
  • C
    Computational Fluid Dynamics Intern
    Jun 2023 - Jul 2023 (2 months)
    • Executed rotating detonation engine CFD simulations in HyBurn (in-house Fortran solver), sweeping fuel equivalence ratios (ϕ =0.8–1.2) across 5 operating conditions to characterize detonation wave propagation, combustion efficiency, and propulsive performance
    • Developed Python post-processing pipeline to track detonation waves and extract wave velocity, pressure/temperature ratios, and combustion product composition, automating batch analysis across each of the 5 equivalence ratio operating regimes
    • Identified optimal equivalence ratio for peak efficiency; won Best Research Paper Award in UF summer research program Tools: HyBurn (Fortran), Python, CFD post-processing
Education verified_user 0% verified
  • Cockrell School of Engineering, The University of Texas at Austin
    Cockrell School of Engineering, The University of Texas at Austin — Bachelor of Science Aerospace Engineering + Robotics
    Cockrell School of Engineering, The University of Texas at Austin
    Jan 2024 - Current (2 years 9 months)
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