About Myself

Final year student in Computer Science Engineering at PES University. I am passionate about open source development, research and optimizing production grade code. My proficiency lies in distributed systems design and machine learning, with a specialisation in systems architecture and design.

39

Completed Projects

1

Publication

EXPERTISE

Cloud Computing and Distributed Architecture Design

  • Docker
  • Kubernetes

  • Big Data Analytics

    • Apache Hadoop
    • Apache Spark
    • Apache Kafka
    • Dask
    • Robinhood Faust

    • Machine Learning and NLP

      • Tensorflow
      • Pytorch
      • Keras
      • NLTK
      • SpaCy
        • May 2020 to present

          University College London and University of Glasgow

          Summer Project Student
          Remote

        • Aug 2020 to present

          Centre for Cloud Computing and Big Data

          Teaching Assistant
          Big Data at PES University

        • Apr 2019 to present

          PESU Innovation Lab

          Head and Project Mentor
          PES University

        • Mar 2019 to Aug 2020

          Developer Student Clubs, powered by Google Developers

          Core Member for Machine Learning and Event Management
          PES University

        • Jan 2019 to present

          Centre for Cloud Computing and Big Data

          Project Intern
          PES University

        • Aug 2017 to present

          PES University

          B.Tech in Computer Science Engineering

          CGPA: 8.97 (Upto 6th Semester)

        • Jun 2015 to Mar 2017

          National Public School, Yeshwanthpur

          GED

          Percentage: 94.8%

        Core Competencies

        Big Data and Distributed Computing

        Working on multiple projects involving the Apache Ecosystem, with skills in Hadoop, Spark and Kafka.

        Cloud Computing

        Experience with CI/CD development, with expertise in Docker, Docker Swarms and Kubernetes

        Machine Learning

        Have worked with Keras, Tensorflow and Pytorch in production environments.