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GJ Abraham

@gjabraham

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Software engineer and AI researcher at Assimilate by Medvarsity, developing healthcare AI and secure software systems.

India

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What I'm looking for

I’m looking for software engineering and healthcare AI opportunities where I can contribute to end-to-end development, from feature design and implementation through testing, deployment, and shipping reliable applications. I’m interested in cross-functional teams building secure, scalable health technology and open to international opportunities, including relocation.

At Assimilate by Medvarsity, I develop applied AI/ML solutions for healthcare intelligence, including a stress-prediction application and work exploring automated medical report summarization. I also build authentication and authorization functionality for secure access through backend APIs.

At SKOLAR, I developed a CNN-based MRI anomaly detection model that achieved 82.9% accuracy. My work included medical image preprocessing, model training, and evaluation.

At Sri Ramachandra Institute Of Higher Education and Research, I contributed to medical image classification research, including a GAN-based histopathology project that achieved 87.6% accuracy. I’m interested in end-to-end software development and building reliable healthcare technology that brings applied AI into practical use.

Experience

Work history, roles, and key accomplishments

Current

Artificial Intelligence Researcher

Current

Assimilate by Medvarsity

Feb 2025 - Present (1 year 8 months)

Developing applied AI/ML solutions focused on healthcare intelligence, predictive modeling, and secure software systems.
Key areas of work:
• Predictive AI: Developing a stress-prediction application using machine learning, data preprocessing, and feature-based classification.

• Healthcare NLP: Working on automated medical report summarization to explore more accessible interpretation of clinical

Data Science Intern

SKOLAR

Aug 2024 - Oct 2024 (2 months)

Focused on applying deep learning and computer vision techniques to medical image analysis.
Key contributions:

• Developed a CNN-based medical imaging model for MRI anomaly detection, achieving 82.9% accuracy in the documented project evaluation.

• Worked with medical imaging datasets containing more than 5,000 images.

• Applied image preprocessing, deep learning model training, and evaluation

Research Assistant

Sri Ramachandra Institute Of Higher Education and Research

Aug 2023 - Oct 2023 (2 months)

Contributed to research involving deep learning and medical image classification.

Key contributions:

• Developed a GAN-based histopathology image classification project, achieving 87.6% accuracy in the documented evaluation.

• Investigated deep learning methods for extracting patterns from histopathology images.

• Worked on image preprocessing, classification, and model performance evaluation.

Data Science Intern

Sri Ramachandra Institute Of Higher Education and Research

May 2023 - Aug 2023 (3 months)

•Analysed patient data using machine learning techniques to predict chronic disease likelihood, achieving 85% accuracy.

•Developed predictive models using Python and applied regression analysis and classification techniques.

•Built and deployed interactive dashboards using Tableau to provide insights on patient data.

•Implemented Hadoop and Spark for processing healthcare data, increasing data

Intermediate Sapphire House Captain

The Indian High School Dubai

Apr 2018 - Jun 2019 (1 year 2 months)

Worked as Intermediate Sapphire House Captain at The Indian High School Dubai.

STEM Scholar – Space Camp Trainee, U.S. Space & Rocket Center

U.S. Space & Rocket Center

Aug 2015 - Aug 2015 (0 months)

Participated in an intensive space science and engineering training program at NASA’s official visitor center — the U.S. Space & Rocket Center in Huntsville, Alabama.
1. Simulated Astronaut Training: Participated in 1/6th gravity moonwalk simulation, multi-axis trainer, and zero-gravity simulation, understanding human biomechanics in space environments.
2. Rocket Design & Launch: Designed, built,