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Bhumika S. — Junior Machine Learning Developer from India

Bhumika S.

Junior Machine Learning Developer

India Less than 1 year
Open to offersNew to Platform
Languages
EnglishHindi
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About

Bhumika R. is a Computer Science and Engineering student at Lovely Professional University with hands-on experience in software development, deep learning, and blockchain project implementation. She has engineered solutions like Stream-Flow, a Zoom-inspired web conferencing app built with TypeScript and JavaScript frameworks, delivering notable improvements in performance and user engagement. Her work in agriculture technology includes designing a plant disease detection tool utilizing Python and ResNet-based deep learning, streamlining diagnostic processes. In the cybersecurity and government tech domain, Bhumika enhanced FIR registration efficiency with a Python- and Django-powered voice automation system. Additionally, she developed FearlessVoice, an anonymous blockchain reporting platform emphasizing secure smart contracts using Motoko and the Internet Computer Protocol. Strong proficiency in TensorFlow and a track record in hackathons and technical competitions round out her project-based skillset.

Experience

  • Team Member

    Stream-Flow · 2025 — 2025
    Developed a real-time video conferencing web application with features such as user authentication, meeting notifications, and recording functionalities using TypeScript.
  • Developer

    Plant Disease Classification · 2025 — 2025
    Engineered a ResNet-based deep learning model to detect plant diseases, achieving a high accuracy rate and implementing a user-friendly front-end tool for image submissions.
  • Creator

    FearlessVoice · 2025 — 2025
    Established a blockchain-based platform for anonymous incident reporting, focusing on privacy and data integrity through the design of smart contracts using Motoko.
  • Developer

    1930 Cyber Fraud Helpline · 2024 — 2024
    Automated the FIR registration process via a voice-based system, significantly improving processing speed and conducting system tests to verify speech-to-action translation accuracy.

Skills & Expertise

Education

  • Bachelor of Technology: Computer Science and Engineering
    Lovely Professional University · 2023 — Present
  • Intermediate
    Crystal global school · 2020 — 2022
  • Matriculation
    Crystal global school · 2019 — 2020

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