I am a Software Engineer at Centre for Railway Information Systems, an organization under the Ministry of Railways, Government of India & pursuing my PhD in Computer Science & Engineering at Indian Institute of Technology Delhi, specializing in Network Security and Machine Learning applications.

Research & Technical Focus

Full Stack Development | Mobile & Web Security | Network Security using Machine Learning | LLMs

Full Stack Development

Frontend: React.js, Next.js
Backend: Node.js, Express
Databases: MongoDB, MySQL, Firebase
Infrastructure: Linux, VMware VMs

Mobile & API Security

Securing mobile applications, web platforms, and REST APIs against emerging threats. Implementing robust authentication, authorization, and data protection mechanisms with focus on API security best practices.

ML & LLM Applications

Developing machine learning algorithms for network security, anomaly detection, and threat analysis. Building Large Language Model applications including RAG systems and intelligent automation solutions.

Professional Journey

Work Experience

Software Engineer

Centre for Railway Information Systems

2022 - Present

Developing enterprise-scale software solutions for Indian Railways with focus on security, scalability, and system reliability.

Education

PhD in Computer Science & Engineering

Indian Institute of Technology Delhi

Present

Research under Prof. Vireshwar Kumar
Specializing in Network Security and Machine Learning applications

M.Tech Computer Science & Engineering

CUP

2021

Specialization in Cyber Security

B.Tech in Computer Science & Engineering

University of Kashmir

2017

Featured Projects

Research and development in full stack, security, and AI systems

Full Stack Web Applications

Developing responsive web applications using React.js, Node.js, MongoDB, and Firebase with REST API security

ReactNode.jsMongoDBFirebase

API Security Framework

Comprehensive security framework for REST APIs with authentication, rate limiting, and threat detection

API SecurityNode.jsJWT

LLM-based RAG Applications

Developing Retrieval-Augmented Generation systems for intelligent document analysis and automated content generation

LLMRAGAI

Malware Detection using ML

Advanced ML algorithms for identifying and classifying malicious software with high accuracy

MLCybersecurity

Network Anomaly Detection System

Deep learning techniques for identifying suspicious network activity and intrusions

Deep LearningNetworking

Mobile App Security Framework

Comprehensive security framework for mobile applications with vulnerability scanning

MobileSecurityReact Native

Ready to Collaborate?

Interested in research collaboration or academic opportunities?