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Phaniraj Kommera profile image

Phaniraj Kommera

Internhip - Android App Development at Exposys Data Labs
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Software engineer with expertise in full-stack development and network optimization.
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Jersey City, New Jersey, United States, US
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Phaniraj Kommera is a seasoned software engineer with expertise in full-stack development, network optimization, and data integration. He has experience with Java, Python, and MySQL, and has worked on projects such as real-time data integration and network traffic solution using machine learning. Phaniraj holds a Master of Science degree from New Jersey Institute of Technology and a Bachelor of Technology degree from Sreenidhi Institute of Science and Technology. He is certified in Digital Marketing, Career Essentials in Generative AI, and SQL and Realational Databases 101.

Credentials

  • Digital Marketing Certification
    Stukent
    May, 2024
    - Apr, 2026
  • Career Essentials In Generative AI
    Microsoft
    Feb, 2024
    - Apr, 2026
  • SQL and Realational Databases 101
    Cognitive Class
    Feb, 2024
    - Apr, 2026

Experience

  • Exposys Data Labs
    • Hyderabad, Telangana, India
    • Internhip - Android App Development
      • Aug 2021 - Sep 2021
      • Hyderabad, Telangana, India

      Improved the existing application- "Fernweh: The Travelling Guide App", by adding real-time data integration and improving user interface of the application, resulting in 50% increase in user base; worked extensively on Java programming language and MySQL database to implement the solutions.Performed detailed analysis of problems with existing application through customer feedback and presented solutions to the problems to the senior management at the Company to get buy-in on the implementation of the solutions; recognized by my direct manager for achieving results in a short period of time.

  • GoalStreet
    • Hyderabad, Telangana, India
    • Summer Internship- Machine learning with python
      • Jun 2020 - Aug 2020
      • Hyderabad, Telangana, India

      Analyzing network data and implementing a network traffic solution using machine learning with python which Improved network performance by 25% through effectively integrating software-defined networking solutions with machine learning techniques.Optimized network traffic classification by effectively executing machine learning techniques in the SDN context resulting in notable outcomes.

Education

  • 2023 - 2024
    New Jersey Institute of Technology
    Master of Science - MS, Business and Information systems
  • 2018 - 2022
    Sreenidhi Institute of Science and Technology
    Bachelor of Technology - BTech, Information Technology

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Industry Focus. “Computer Software”

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