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Machine Learning & Cybersecurity Researcher, Software Developer

CVML Lab, NIT Meghalaya

Working on quantum cryptography, semi-teleportation, and medical image analysis. Developed ML models for spine, polyps, and breast cancer. Built software for quantum experiments and research model testing.

• Engineered software to acquire and measure quantum experiment readings
• Developed machine learning models for medical image segmentation, annotation, and classification (Polyps, Breast Cancer, Spine)
• Engineered three software applications for testing classification and segmentation models
• Conducted research on quantum cryptography and semi-teleportation for secure communication

Software Developer and Machine Learning Intern (Hybrid)

All India Institute of Medical Sciences, Raebareli

Developed and implemented deep learning models for lumbar spine image classification, segmentation, and annotation. Engineered advanced software tools for spine image analysis, significantly improving image interpretation efficiency.

• Machine Learning
• Computer Vision
• Software Development
• Image Segmentation

Team Lead & Website Developer - Capture the Flag (CTF), Game of Codes

Cognitia - Annual Tech Fest of NIT Meghalaya

Led and organized Capture the Flag and Game of Codes events during Cognitia 2023. Designed and developed the official website for the CTF competition.

• Built and deployed the full website for managing and conducting the CTF event

Undergraduate

National Institute of Technology, Meghalaya

Computer Science and Engineering

• Software Engineering
• Cryptography and Network Security
• Object Oriented Programming
• Principles of Programming Languages
• Data Structures
• Analysis of Algorithms
• Computer Networks
• Data Communication
• Automata and Formal Theory
• Compiler Design
• Linear Algebra
• Integral Calculus
• Laplace Theorems and Complex Numbers
• Discrete Mathematics

Enhanced Quantum Cryptography Using Single Particle State Rotation

SN Computer Science | 7th International Conference on Data Analytics and Cyber Security (DACS 2024)

This research explores improving Quantum Cryptography through single particle state rotation. By manipulating the quantum states of individual particles, it is possible to enhance the security and efficiency of cryptographic protocols using a secure quantum channel.

Quantum Cryptography Using Single Particle State Rotation

Developed a quantum cryptographic method to enhance communication security and created a new approach for advanced bit loss and error detection protocols.

• Quantum Cryptography
• Quantum Information
• Quantum Computing

Deep Learning-Based Lumbar-Sacral Medical Image Analysis

Engineered software incorporating deep learning models for precise medical image segmentation, annotations, and accurate measurements of anatomical features.

• Deep Learning
• Medical Image Analysis
• Segmentation
• Annotations

Fake Profile Detection

Developed a deep learning model and a browser extension to identify fake profiles on social platforms (e.g., Facebook, Twitter, LinkedIn), enhancing online safety and mitigating digital fraud.

• Deep Learning
• Browser Extension
• Digital Fraud Prevention

Undergraduate Research Lead

CVML Lab, NIT Meghalaya

Led an undergraduate research team in the CVML (Computer Vision and Machine Learning) Lab at NIT Meghalaya.

Sports

NIT Meghalaya

Engaging in badminton and chess.

Content Creator

YouTube

Making videos based on Cyber Security/Ethical Hacking, Malware Analysis, and Deep Learning on YouTube occasionally.