Experience

Caltech

• United States
• Research Services
• 700 & Above Employee

• Software Application Developer

  • Aug 2023 - Present

  Data processing pipelines for SPHEREx space observatory mission under IPAC https://spherex.caltech.edu/ Data processing pipelines for SPHEREx space observatory mission under IPAC https://spherex.caltech.edu/



Lawrence Livermore National Laboratory

• United States
• Research Services
• 700 & Above Employee

• DSSI - computing scholar program

  • May 2023 - Aug 2023



Event Horizon Telescope

• Undergraduate research Assistant - Data Science

  • Mar 2020 - May 2023

  Developed a fully scalable black hole data visualization tool with Python, Bokeh, HoloViews Optimized data loading time using Docker containers and AWS Elastic Beanstalk, GCP Designed and implemented a weather modeling pipeline with SQL and Bokeh using physics informed neural networks github repo Working on modifying Google Jax libraries to better accommodate GPU based parallel computing Developed a fully scalable black hole data visualization tool with Python, Bokeh, HoloViews Optimized data loading time using Docker containers and AWS Elastic Beanstalk, GCP Designed and implemented a weather modeling pipeline with SQL and Bokeh using physics informed neural networks github repo Working on modifying Google Jax libraries to better accommodate GPU based parallel computing



CyVerse.Org

• United States
• Biotechnology Research
• 1 - 100 Employee

• Student Software Engineer

  • Aug 2022 - Nov 2022

  Reduced cloud backend downtime via integration with RabbitMQ and Ansible Involved in UNIX system administration and shell scripting for bioinformatics servers Reduced cloud backend downtime via integration with RabbitMQ and Ansible Involved in UNIX system administration and shell scripting for bioinformatics servers



Space Telescope Science Institute

• United States
• Research Services
• 500 - 600 Employee

• Data Science Intern

  • Jun 2022 - Aug 2022

  Explored uses of various signal processing and machine learning techniques to efficiently characterize imaging data for the next NASA flagship mission - Roman Space Telescope. In the works - paper on applications of wavelet scattering transforms to dark images: “Velicheti, Wu, & Petric, Quantifying Roman WFI Dark Images with the Wavelet Scattering Transform” Explored uses of various signal processing and machine learning techniques to efficiently characterize imaging data for the next NASA flagship mission - Roman Space Telescope. In the works - paper on applications of wavelet scattering transforms to dark images: “Velicheti, Wu, & Petric, Quantifying Roman WFI Dark Images with the Wavelet Scattering Transform”



National Radio Astronomy Observatory

• United States
• Research
• 300 - 400 Employee

• Data Engineering Intern

  • May 2021 - Sep 2021

  Refactored legacy C++ data processing suite to improve performance and integrated it with python wrappers ● Key achievement: Built a server side application with gRPC, Tornado, Numba and Dask that outperformed legacy server implementation Refactored legacy C++ data processing suite to improve performance and integrated it with python wrappers ● Key achievement: Built a server side application with gRPC, Tornado, Numba and Dask that outperformed legacy server implementation



SALT Center

• United States
• Higher Education
• 1 - 100 Employee

• Academic Tutor

  • Jul 2020 - Mar 2021

  Tutoring upto 300 level math courses (Linear algebra, Multivariable Caluclus) and python. Was primary Computer Science tutor for SALT and developed code tutoring guidelines Tutoring upto 300 level math courses (Linear algebra, Multivariable Caluclus) and python. Was primary Computer Science tutor for SALT and developed code tutoring guidelines