Raag Bhutani

About

I am a Software Engineer with a strong focus on Artificial Intelligence, Machine Learning, and applied research, working towards building scalable and practical intelligent systems.

My work combines deep learning concepts with strong engineering practices, enabling me to bridge the gap between research and production. I have contributed to applied AI research in medical imaging, resulting in an SCI-indexed publication focused on brain tumor MRI denoising.

Alongside research, I have experience designing and developing scalable systems and automation tools. At Tomia (Lumine Group), I built a Python-based code generation tool that automated ReactJS UI development, significantly improving development efficiency and standardization. I have also developed backend services and automation workflows using Node.js, Java, Python and CI/CD pipelines to enhance system reliability and performance.

I enjoy solving real-world engineering problems, continuously improving my craft, and building systems that are practical, scalable, and impactful.

Employment

• Tomia (Lumine Group) Software Engineer
  2024 - Present
• Mylo Software Developer
  2024 - 2024
• Amantya Technologies Software Engineering Intern
  2023 - 2023
• Crudcook Private Limited Full Stack Developer Intern
  2022 - 2022
• Design Innovation Centre (Medical Devices and Restorative Technologies) Research Intern (AI Team)
  2021 - 2022

Education

• Scholar English Academy Student
  2018 - 2020
• Metas Adventist School
  2017 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (1)

• Denoising of magnetic resonance images of brain tumor using BT-Autonet
  Biomedical Signal Processing and Control 2024 DOI: 10.1016/j.bspc.2023.105477
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