About
Computer Science and Artificial Intelligence graduate with hands-on experience in Java, Python, AI/ML, and software development through internships and projects. Skilled in machine learning, deep learning, data preprocessing, and web application development, with a focus on real-world AI-driven solutions.
Experience
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Research InternIIITDM KurnoolJan 2026 – Apr 2026
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AI & ML Virtual InternInfosys SpringboardSep 2025 – Dec 2025
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AIML InternSmartBridge Educational ServicesMay 2025 – Jun 2025
Education
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B.TechG. Pullaiah College of Engineering and Technology (GPCET)Computer Science & Artificial Intelligence · 2026
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IntermediateClass XII (MPC) · 2022
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Class XRidge SchoolCBSE · 2020
Skills
Projects
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Dermal Scan – Skin Condition & Age PredictionDenseNet121, OpenCV, Streamlit
Developed a DenseNet121-based CNN model for AI-driven skin analysis and age prediction. Integrated face localization with bounding-box detection and deployed the system as a Streamlit app.
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Pattern Sense: Fabric Pattern RecognitionPython, TensorFlow, Flask, HTML/CSS
Developed a CNN-based image classification model to identify fabric patterns and deployed it as a Flask web application with real-time prediction capability.
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Diabetic Retinopathy & Nephropathy Early DetectionPython, scikit-learn
Built an ensemble machine learning model to predict two diabetic complications simultaneously from 1,600 patient clinical records. Achieved 91.5% and 92.7% accuracy with feature engineering and probability threshold tuning.
Courses & certifications
- Cambridge Linguaskill English Certification
- Introduction to Artificial Intelligence · IBM SkillBuild
- Computing Foundations · Google Cloud Career Launchpad
- Java · Codetantra