Amogh Rane

Amogh Rane

Intern

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location of Amogh RaneSanta Clara, California, United States

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  • Timeline

  • About me

    Software Engineer @ Intel | Ex-SDE/DS Intern @ Intel | MS ECE UMich, Ann Arbor

  • Education

    • St. Mary's Junior College

      2013 - 2015
      HSC Electronics
    • University of Mumbai

      2015 - 2019
      Bachelor of Engineering - BE Electrical, Electronics and Communications Engineering

      Relevant Courses: Structured Programming Approach, Object Oriented Programming Methodology, Neural Network and Fuzzy Logic, Speech Processing, Image and Video Processing

    • University of Michigan - Rackham Graduate School

      2019 - 2021
      Master of Science - MS Electrical and Computer Science

      Specialization: Signal, Image Processing and Machine LearningRelevant Courses: Deep Learning for Computer Vision; Machine Learning; Natural Language Processing; Foundations of Computer Vision; Matrix Models for Signal Processing, Data Analysis and Machine Learning; Probability and Random Processes; Optimization Methods for Signal & Image Processing and Machine Learning; Interpersonal Skills

  • Experience

    • Nuclear Power Corporation of India Limited

      Jun 2018 - Jul 2018
      Intern

      • Researched and executed network and security algorithms comprising of RSA, DES, AES and MD5 Hashing algorithm using C, Python and Linux Ubuntu

    • Intel Corporation

      Jun 2020 - Apr 2021
      Software Engineer / Data Scientist Co-op

      • Coordinating with Pre-Silicon Graphics Validation team to devise graphics products• Deploying and optimizing Machine Learning algorithms on current software to increase efficiency• Leading efforts to develop dashboards to efficiently display usage data for data analysis by utilizing data visualization tools such as Power BI as well as Dash and Plotly in Python• Establishing workflow automation to drive operational efficiency, and aiding the team’s data engineering initiatives by employing predictive modeling algorithms in Python and Perl• Creating and refining unit tests, to ensure proper operation of module and its dependencies• Received recognition for contribution to the project by increasing efficiency of model in certain use cases by up to 40% Show less

    • University of Michigan

      Jun 2020 - Aug 2020
      Program Assistant

      • Collaborated with faculty to devise remote labs during COVID-19, comprised of Image and Signal Processing, for EECS 451- Digital Signal Processing Laboratory in Python and C, using Raspberry Pi, Arduino Uno and Teensy

    • Intel Corporation

      Jul 2021 - now
      Software Engineer
  • Licenses & Certifications