Location: Nashville, TN
  Remote: Yes (preferred)
  Willing to relocate: Yes
  Visa/sponsorship: No need
  Technologies:
    - python (pytorch/pandas/sklearn/django/flask etc.),
    - C/C++ (openmpi, cuda, petsc, gazebo),
    - matlab (simulink, several toolboxes),
    - javascript (d3, AngularJS),
    - T-SQL
    - prior experience with Go, Julia, VHDL, Assembly, LTSpice, Cadence
  Résumé/CV: https://iahmed.me/resume
  Email: ibrahim[dot]ahmed[at]vanderbilt.edu
  github: https://github.com/hazrmard

I'm a PhD candidate (electrical engineering) intending to defend in early 2023. My work is in adaptive control using reinforcement learning. I combine classical control theory with machine learning. I apply my work to Unmanned Aerial Vehicles and smart buildings. Previously I've interned in research roles at big companies (AWS), start-ups, and in adacemia.

Most recent software project is a multirotor simulation library: github.com/hazrmard/multirotor

Looking for research/engineering roles in industry in, or adjacent to, machine learning and controls.