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Dhanush Reddy N

MCA Student @ PES University | Aspiring Software Engineer with Data Analytics & AI/ML Experience | Python • SQL

Bengaluru

< 1 year of work experience

Jan 20264 mosApr 2026

Bengaluru, Karnataka, India

Developed Neuro-Seg, a web platform for brain tumor segmentation from MRI scans. • Built frontend and backend modules using modern web technologies and integrated machine learning inference services. • Integrated TensorFlow-based models for automated brain tumor segmentation and implemented interactive 3D visualization using Three.js. • Tested end-to-end workflows, validated prediction outputs, and resolved integration and application issues. • Collaborated with a multidisciplinary team to improve system reliability, performance, and maintainability. • Gained hands-on experience in full-stack development, REST API integration, machine learning deployment, debugging, and agile collaboration.
Jan 20245 mosMay 2024

Bengaluru, Karnataka, India

Designed and deployed a Power App to digitize physiotherapy session logs, replacing manual logbooks. Improved data accuracy and efficiency with a user-friendly, scalable data entry system. Integrated Power BI dashboards for real-time reporting, supporting physiotherapists and program managers. Collaborated with healthcare staff and NGO stakeholders to ensure adoption and measurable impact.

Dhanush’s AI Stack

claude code
claude code
gemini
gemini
notebooklm
notebooklm
openai
openai

Education

PES University

Master of Computer Applications, Computer Application

PES University

20242 yrs2026
St Joseph's University

Bachelor of Science

St Joseph's University

20213 yrs2024

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Headline

MCA Student @ PES University | Aspiring Software Engineer with Data Analytics & AI/ML Experience | Python • SQL

About

I am a motivated MCA student at PES University, driven by a passion for software development, data science, and AI/ML. My academic journey and project experience have equipped me with skills in Python, SQL, machine learning pipelines, deep learning NLP models, and full-stack application deployment. I enjoy bridging the gap between theory and practical impact, whether it’s developing applications, solving data-driven problems, or exploring innovative solutions across domains. Curious and adaptable, I thrive in collaborative environments that value innovation and efficiency, and I am eager to contribute to projects that leverage technology to create real-world impact while expanding my expertise in software engineering, intelligent systems, and emerging technologies.

Location

Bengaluru

AI stack

claude code

gemini

notebooklm

openai

Work experience

Software Developer Intern at Centre for Healthcare Engineering and Learning (cHEAL), PES University, Jan 2026 - Apr 2026 · 4 mos, Bengaluru, Karnataka, India, Developed Neuro-Seg, a web platform for brain tumor segmentation from MRI scans. • Built frontend and backend modules using modern web technologies and integrated machine learning inference services. • Integrated TensorFlow-based models for automated brain tumor segmentation and implemented interactive 3D visualization using Three.js. • Tested end-to-end workflows, validated prediction outputs, and resolved integration and application issues. • Collaborated with a multidisciplinary team to improve system reliability, performance, and maintainability. • Gained hands-on experience in full-stack development, REST API integration, machine learning deployment, debugging, and agile collaboration.

Developer at proVISION ASIA (NGO), Jan 2024 - May 2024 · 5 mos, Bengaluru, Karnataka, India, Designed and deployed a Power App to digitize physiotherapy session logs, replacing manual logbooks. Improved data accuracy and efficiency with a user-friendly, scalable data entry system. Integrated Power BI dashboards for real-time reporting, supporting physiotherapists and program managers. Collaborated with healthcare staff and NGO stakeholders to ensure adoption and measurable impact.

Education

Master of Computer Applications, Computer Application, PES University

Bachelor of Science, St Joseph's University

Public links

github: https://github.com/Dhanushreddyn1