Software Engineer with 5+ years of experience developing applications for medical image analysis, AI-driven quantification, and deep learning integration across enterprise environments. I combine Python, C, and cloud systems to design and deploy image processing solutions for CT, MRI, and other medical imaging modalities. I’ve worked within regulated software development lifecycles, delivering unit testing, software validation support, and documentation. I also collaborate with cross-functional teams in drug development environments and provide end-user support for deployed applications on Azure and AWS.

NAVANEETH R

Software Engineer with 5+ years of experience developing applications for medical image analysis, AI-driven quantification, and deep learning integration across enterprise environments. I combine Python, C, and cloud systems to design and deploy image processing solutions for CT, MRI, and other medical imaging modalities. I’ve worked within regulated software development lifecycles, delivering unit testing, software validation support, and documentation. I also collaborate with cross-functional teams in drug development environments and provide end-user support for deployed applications on Azure and AWS.

Available to hire

Software Engineer with 5+ years of experience developing applications for medical image analysis, AI-driven quantification, and deep learning integration across enterprise environments. I combine Python, C, and cloud systems to design and deploy image processing solutions for CT, MRI, and other medical imaging modalities.

I’ve worked within regulated software development lifecycles, delivering unit testing, software validation support, and documentation. I also collaborate with cross-functional teams in drug development environments and provide end-user support for deployed applications on Azure and AWS.

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Work Experience

Software Engineer at Microsoft USA
September 1, 2025 - Present
Developed image quantification applications using Python and deep learning frameworks (TensorFlow/Keras) for automated analysis of medical imaging data, achieving 92% accuracy. Integrated AI-driven segmentation and registration pipelines for CT/MRI to reduce analysis time by 60%. Conducted unit testing and supported regulated software validation by building and executing test scripts. Deployed applications on Azure and AWS with scalability and secure handling of sensitive medical data, targeting 99.9% availability. Provided end-user support (setup/installation/maintenance) and authored technical documentation for deployed solutions.
Software Developer at Oracle India
January 1, 2023 - June 30, 2024
Built AI-powered applications for medical image analysis using Python and deep learning frameworks, implementing feature extraction and classification models for diagnostic support. Integrated image processing capabilities into enterprise platforms by developing REST APIs and microservices for seamless data flow. Followed SDLC in regulated environments with unit testing, validation, and documentation. Developed C and JavaScript components for image management and analysis, enabling efficient storage, retrieval, and processing of medical imaging data. Collaborated with clinicians and researchers to capture requirements and deliver imaging solutions.
Software Developer at Wipro India
April 1, 2020 - December 31, 2022
Developed software applications for image processing and analysis using Python and C, implementing segmentation, registration, and feature extraction algorithms. Built machine learning models using TensorFlow and scikit-learn for image classification and anomaly detection, achieving 90% accuracy on test datasets. Conducted unit testing and validation, writing test scripts and maintaining code quality through code reviews and automated testing pipelines. Integrated applications with cloud systems and databases for scalable storage and processing of large image datasets. Created technical documentation and provided end-user support to support smooth deployment and adoption of imaging applications.

Education

Master’s in Computer Science at University of South Florida (USF)
January 11, 2030 - August 17, 2026

Qualifications

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Industry Experience

Healthcare, Life Sciences, Software & Internet