hi, I'm Savri

I'm a Systems Safety Engineer in the Bay Area, supporting the build of an autonomous air taxi. I have a Master’s in Aerospace Engineering degree from Georgia Tech, where my research focused primarily on Systems Engineering for aircraft cabins and satellite constellations. I hope to gain a diverse range of career experiences in engineering and project management to help advance our exploration of the skies and beyond.

I'm a strong advocate for inclusion and equity within the industry and dedicate much time outside of work to STEM outreach initiatives. I also enjoy coding, CADing and café hopping.

Photo of Savri

exciting stuff coming up!!

Podium icon

Paper Presenter at ASCEND 2025

(Las Vegas, Nevada)

Podium icon

Paper Presenter at IAC 2025

(Sydney, Australia)

space aviation

engineering experience (space)

Design and Testing of bladder device

CAD Modeling • Test Planning • V&V • Data Analysis

  • Spearheaded the design, development, and project planning of a rubber-based propellant management device (bladder) for the spherical tank of 1 N thruster system for small satellites.
  • Performed trade studies on currently existing bladder technology and completed 3 prototype CAD designs that were fabricated and tested. Assisted in the PDR of the chosen design.

MBSE enabled architecture development for comms satellite constellation

MBSE • Orbit Analysis • Scientific Writing

  • Developed and maintained the model for the proposed communication satellite constellation (requirement, behaviour, activity and parametric diagrams)
  • Created model interface with Ansys STK for efficient return of coverage, latency and handover outputs to support requirement verification
  • First author paper accepted at AIAA ASCEND ‘25. Read paper here

Design and optimization of a Chandrayaan-2 inclusive lunar constellation

Constellation Design • Orbit Analysis • MDAO • Scientific Writing

  • Completed initial constellation design with the Chandrayaan 2 as the primary node, through Walker Delta and Slotting techniques
  • Optimized for coverage, latency and handover time using Particle Swarm and multi-objective methods
  • First author paper accepted at IAC ‘25. Read paper here

Probabilistic Design of Lunar Lander Leg

DoE • FEA analysis • Uncertainty Quantification • Scientific Writing

  • Based on initial leg concept, performed a Design of Experiments assessment followed by automated ABAQUS simulations to outputleg deformation, compressive and tensile loading (at landing time)
  • Trained neural networks based on DoE outputs, which were then run through a Monte Carlo simulation to generate predictive profiles.
  • Design parameter (footpad radius, thickness and strut length) recommendations were made based on available feasible design space
  • First author paper accepted at IAC ‘25. Read paper here