About
Computer Science and Engineering undergraduate with a strong foundation in Java, data structures and algorithms, OOP, and DBMS. IEEE-published researcher in computer vision with hands-on experience in AI/ML and deep learning, focused on building scalable software and AI-powered solutions.
Education
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BE in Computer Science and EngineeringK. S. Institute of TechnologyComputer Science and Engineering · 2023 – 2027
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PUCSt. Anne’s PU College2020 – 2022
Skills
Projects
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EfficientNetV2-S, ConvNeXt-Tiny, Grad-CAM, PyTorch, OpenCV, NumPy, Pandas, Scikit-learn, Streamlit, VS Code
Built a deep learning-based oral cancer screening prototype using EfficientNetV2-S and planned a ConvNeXt-Tiny ensemble. Implemented training, evaluation, Grad-CAM visualization, and a Streamlit deployment prototype.
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Java, JSP, Servlets, JDBC, MySQL, HTML, CSS, JavaScript
Developed a full-stack web application to streamline online food ordering and restaurant management with authentication, menu management, shopping cart, order processing, and CRUD-based database operations.
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Python, PyTorch, YOLOv11, OpenCV, NumPy, Scikit-learn, Matplotlib, VS Code
Developed a two-stage computer vision system to detect mulberry vs. non-mulberry leaves and classify healthy vs. diseased mulberry leaves. Built an end-to-end deep learning pipeline with augmentation, training, validation, prediction, and performance visualization.
Courses & certifications
- Python for Computer Vision with OpenCV and Deep Learning · Udemy
📚 Publications
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YOLOV11n-Based Hierarchical Framework for Mulberry Leaf Health Assessment · 2026