Ashwin Hebbar
Work
Places I have worked.
  • Aug 2024 - Now
    Bengaluru, IN
    Project Trainee - AstroSat
    U. R. Rao Satellite Center (URSC), ISRO, Dept. of Space, GoI | Under the Guidance of Ms. M. C. Ramadevi, Payload Manager, URSC

    • Collaborated with the Space Astronomy Group to analyze astronomical data and manage large space datasets, order of Petabytes.

    • FITS Data Lookup and Extraction - Wrote custom Data Engineering pipelines to extract data from specific X Ray Sources from Astrosat’s database, which may be filtered by criterions such as source and timeframe.

      • Developed pipelines for analysing, visualizing and generating said files.
      • This data may be further used by scientists at ISRO for research and discoveries.

    • Transient Detection - Developed logic to detect “X-Ray Anomalies”, which are high intensity sources, for ISRO’s SSM data. Explored both Deep Learning (Auto Encoders) and Statistical Methods (Z-Score) for detection of said transients.

    • Markdown based CMS - A markdown based custom CMS for displaying various information related to the SSM Mission.

    • Flask Based Web Application - Developed a web portal that streamlined access to AstroSat’s SSM sensor array data, enabling convenient data retrieval and analysis.

  • Jan 2024 - Apr 2024
    Chennai, IN (Remote)
    Teaching Assistant: Intro to Linux Shell - Lab
    Indian Institute of Technology, Madras | Under the Guidance of Dr. Sushil Pachpinde, IIT Madras
    • Conducted lab sessions for 30+ students to teach them the working of Linux Operating System.
    • Assisted students in understanding the basic commands and functionalities of the Linux Shell.
    • Advanced concepts like Bash Programming, file handling and Manipulation, and basic data wrangling using AWK were also covered.
    • Evaluated students based on their performance in the lab sessions.
    • Keywords: Linux, Shell Scripting, Bash, AWK
  • Jun 2023 - Jun 2024
    Remote (IN)
    Deep Learning and Computer Vision Intern
    Digi Vet Care Pvt. Ltd. | Under the Guidance of Prof. Venkatesh K A, Alliance University, IN
    • Built a multi-model pipeline for Deep Learning based Biometric Identification of Cattle.
    • Extensively Researched both on-field and off-field methodologies to achieve 90+% accuracy on the models developed.
    • Helped deploy models on an Azure VM by setting up the required dependencies and environment.
    • Keywords: Python, OpenCV, YOLOv8, Azure
  • May 2020 - Aug 2020
    Kanpur, IN
    A Training and Internship Program on Introduction to AI and IoT
    Indian Institute of Technology, Kanpur
    • Covered theoretical basics of various fundamental Machine Learning concepts (Linear Models, Gradient Descent, it’s optimisation).
    • We applied the learnt knowledge in AI and IOT to build a small project on an object avoidance robot