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RAJU P

MCA Student at Christ University | Aspiring Software Developer | Full-Stack Development | AI & ML Enthusiast

Bengaluru

< 1 year of work experience

Infosys Springboard
Mar 20252 mosApr 2025

Remote

Developed the "Glucosense Diabetic Prediction System", achieving a 22% increase in prediction accuracy using XGBoost and Python ML pipelines. Leveraged Scikit-learn and Pandas for advanced feature engineering and data preprocessing, with Matplotlib for insightful visualizations. Collaborated in agile teams to deliver robust early diabetes detection solutions for healthcare applications.
Acmegrade
Dec 20232 mosJan 2024

Remote

Built deep learning models on the MNIST dataset, boosting classification accuracy by 25% using TensorFlow and Keras with optimized architectures. Streamlined data workflows with Pandas and NumPy, enhancing team efficiency and supporting scalable AI solutions.

Education

Christ University, Bangalore

Master of Computer Applications - MCA, Computer Science

Christ University, Bangalore

20252 yrs2027

Bachelor of Science - BS, Computer Science

Don Boso College(Co-Ed),Yelagiri Hills

20223 yrs2025

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Headline

MCA Student at Christ University | Aspiring Software Developer | Full-Stack Development | AI & ML Enthusiast

About

I am an MCA student at Christ University with a strong focus on software development and artificial intelligence, driven to build solutions that create real impact. I have hands-on experience developing AI-driven and full-stack applications, including healthcare-focused projects that delivered measurable performance improvements. My work spans Python, JavaScript, modern web technologies, and machine learning frameworks, with emphasis on clean architecture, scalability, and data-driven optimization. I have collaborated in agile environments, translating ideas into reliable, production-ready solutions. I value continuous learning, consistency, and meaningful collaboration. I am open to opportunities where I can contribute, learn, and grow together with teams to build impactful technology.

Location

Bengaluru

Work experience

Artificial Intelligence Intern at Infosys Springboard, Mar 2025 - Apr 2025 · 2 mos, Remote, Developed the "Glucosense Diabetic Prediction System", achieving a 22% increase in prediction accuracy using XGBoost and Python ML pipelines. Leveraged Scikit-learn and Pandas for advanced feature engineering and data preprocessing, with Matplotlib for insightful visualizations. Collaborated in agile teams to deliver robust early diabetes detection solutions for healthcare applications.

Artificial Intelligence Intern at Acmegrade, Dec 2023 - Jan 2024 · 2 mos, Remote, Built deep learning models on the MNIST dataset, boosting classification accuracy by 25% using TensorFlow and Keras with optimized architectures. Streamlined data workflows with Pandas and NumPy, enhancing team efficiency and supporting scalable AI solutions.

Education

Master of Computer Applications - MCA, Computer Science, Christ University, Bangalore

Bachelor of Science - BS, Computer Science, Don Boso College(Co-Ed),Yelagiri Hills

RAJU P - Artificial Intelligence Intern in Bengaluru | Tal