About
Cybersecurity student focused on offensive security, machine learning, and research-driven problem solving. Builds security tooling and ML prototypes, with hands-on practice in web exploitation, privilege escalation, and network fundamentals.
Education
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B.TechB.C. Roy Engineering College (BCREC)Cybersecurity · 2025 – 2029
Skills
Tools / apps / platforms
Projects
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Explainable AI for Diabetic Retinopathy DetectionPython
Built an explainable-AI prototype for automated diabetic retinopathy detection and presented it in a hackathon setting with interpretable visual explanations for clinical use.
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C
Implemented a complete feedforward neural network from first principles, including a custom matrix library, backpropagation, and training loop; validated on XOR and extended toward CNNs for MNIST.
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EEG/fMRI-Based Schizophrenia ClassificationMNE-Python
Contributing to a multimodal deep learning research project, handling EEG preprocessing and artifact removal as part of the classification pipeline.
🏆 Achievements & awards
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1st Position, Medical Panel, BCREC Smart India Hackathon Internal Round
Secured first place with an explainable-AI approach to diabetic retinopathy detection.