Experience

National Radio Astronomy Observatory

• United States
• Research
• 300 - 400 Employee

• Senior Software Engineer

  • Sep 2023 - Present



USRA

• United States
• Defense and Space Manufacturing
• 100 - 200 Employee

• SOFIA Software Engineer

  • Sep 2021 - Present



NASA Jet Propulsion Laboratory

• United States
• Defense and Space Manufacturing
• 700 & Above Employee

• Postdoctoral Researcher

  • May 2020 - Sep 2021



The AI Institute

• France
• Education Administration Programs
• 1 - 100 Employee

• Data Science Fellow

  • Jan 2020 - Mar 2020



The University of New Mexico

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Jan 2016 - Jul 2019

  Collected, processed, and analyzed 100 GBs of imaging data on Binary Supermassive Black Holes to study their orbital motion. Collaborated with researchers from Stanford and US NRL. Published a first-authored publication in the Astrophysical Journal.Developed a Python algorithm for automating data reduction of Terabytes of 4-dimensional time-series. Performed data modeling of time-series using Python for future predictions and applied linear regression fitting to the observed data for obtaining scattering parameters. Incorporated a statistical algorithm to differentiate between different data sets. Collaborated with a team of researchers at UNM. Published two first-authored publications in the Astrophysical Journal.Developed SQL algorithms to gather black hole data from the Sloan Digital Sky Survey Database. Obtained statistical measurements to understand the distribution of parameters and used them to suggest a design of an upcoming telescope: next-generation Very Large Array (ngVLA). Show less

• Astronomy Instructor

  • Aug 2018 - Dec 2018

• Teaching Assistant

  • Aug 2014 - Dec 2015



Raman Research Institute

• India
• Research Services
• 1 - 100 Employee

• Visiting Scholar

  • Jul 2013 - Jul 2014

  Developed a data analysis pipeline in Fortran for improving the signal to noise ratio of time-series. Differentiated the terrestrial signal from an astronomical origin by manipulating data. Developed a data analysis pipeline in Fortran for improving the signal to noise ratio of time-series. Differentiated the terrestrial signal from an astronomical origin by manipulating data.



Indian Institute of Technology, Gandhinagar

• India
• Higher Education
• 100 - 200 Employee

• Visiting Scholar

  • May 2012 - Jul 2012

  Used MATLAB for modeling Gravitational Waves template Used MATLAB for modeling Gravitational Waves template