About Me

Enthusiast

Experience

May 2025 – Present

Junior Data Scientist

Switchbox

  • Built a predictive maintenance model (LSTM) that reduced unplanned downtime by 18%.
  • Designed and maintained ETL pipelines in Airflow processing 5 M+ sensor records/day.
  • Developed an internal FastAPI dashboard for real-time monitoring of production KPIs.
  • Collaborated with mechanical engineers to define feature sets from CAD tolerances and vibration data.
2020 – 2022

Mechanical / Data Engineering Intern

Precision Dynamics LLC

  • Instrumented test rigs with accelerometers and thermocouples; cleaned and analysed 200 GB of raw logs.
  • Automated post-processing workflows in Python, cutting report generation time from 4 h to 15 min.
  • Created FEA simulations in ANSYS Mechanical to validate sensor placement assumptions.
2018 – 2020

Undergraduate Research Assistant

University of Texas — Thermal Systems Lab

  • Ran CFD simulations comparing heat-exchanger geometries under turbulent flow conditions.
  • Wrote data-collection scripts (Python + LabVIEW) for a custom wind-tunnel test bench.

Education

2020

M.S. Mechanical Engineering (focus: Data-Driven Dynamics)

University of Texas at Austin

2018

B.S. Mechanical Engineering

University of Texas at Austin

Fun Facts

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