System Initialized

VEDANTA

BARMAN

Computer Science Student & Full-Stack Developer specializing in Systems, Infrastructure, and Secure Applications.

B-Tech CS @ PES University (2023 - 2027)

01. Technical Arsenal

Languages

Python C++ Java JavaScript TypeScript Bash

Web Development

React Node.js Express.js Flask REST APIs

Systems & Tools

Linux Docker SQL / DBMS DSA Cybersecurity Git

02. Featured Projects

Machine Learning & Security

Co-Evolutionary Framework for Malware Analysis

• Designed a co-evolutionary adversarial machine learning framework in Python to simulate and analyse the arms race between malware generation and detection.

• Developed a dual-engine architecture featuring independent modules to simultaneously evolve evasive malware variants and generate adaptive defense mechanisms.

• Engineered a central orchestrator utilizing a continuous feedback loop to iteratively optimize both attack evasion techniques and detection accuracy.

Python Machine Learning Cybersecurity

DevOps & Infrastructure

Self-Hosted Infrastructure & Network Administration

• Architected and maintained self-hosted services using Docker and Docker Compose to deploy and isolate network services.

• Deployed a network-wide DNS blackhole and managed local DNS routing to improve network security and block malicious telemetry.

• Provisioned headless Linux game servers with port forwarding, firewall rules, access controls, administration scripts, and system monitoring.

Docker Linux Networking Bash

Full-Stack Application

Book Nook

• Developed a full-stack e-commerce bookstore application utilizing the MERN stack to facilitate the browsing, searching, and purchasing of books.

• Designed an intuitive frontend interface using React.js to deliver a seamless and engaging user experience for book discovery.

• Engineered a robust backend architecture with Node.js and Express.js to ensure reliable transaction processing and provide secure administrative controls.

MongoDB Express.js React Node.js

Web Application

VidStream

• Built a video review and streaming platform inspired by YouTube, utilizing a Python Flask backend and a MySQL relational database.

• Implemented core interactive features, including secure user authentication, video uploading with automated thumbnail generation, and a dynamic commenting system.

• Created a comprehensive administrative dashboard to streamline user management and facilitate efficient content moderation.

Python Flask MySQL HTML/CSS