Hello, I'm

Soubhik Roy

ABOUT ME

Soubhik Roy

Hi There 👋

I'm Soubhik Roy, a passionate Computer Science student at VIT Bhopal, currently exploring full-stack development and AI-powered systems. I've built scalable platforms, published research, and worked with IIT Dhanbad on smart EV-routing solutions.

Name: Soubhik Roy

Email: soubhik0727@gmail.com

Phone: +91 9835518101

Twitter: @soubhik0727

DOWNLOAD CV

A Yearly Glimpse into My Creative Evolution

Tracing my professional path year by year, showcasing pivotal roles and impactful experiences that have defined my journey as an engineer.

Sep 2023 - Present

Undergraduate Student

VIT Bhopal University - Full-time

Bhopal, Madhya Pradesh, India

1 yr 11 mos

May 2025 - Jun 2025

Summer Research Intern

Department of Computer Science and Engineering, IIT(ISM) Dhanbad - Internship

Dhanbad, Jharkhand, India - On-site

2 mos

Skills: Genetic Algorithms, Algorithm Optimization, etc.

Oct 2024 - Nov 2024

Web Developer

CodSoft - Internship

Remote

2 mos

Skills: React.js, Tailwind CSS, etc.

TECH STACK

HTML5

HTML5

95% mastery
CSS3

CSS3

90% mastery
JavaScript

JavaScript

85% mastery
TypeScript

TypeScript

80% mastery
React.js

React.js

85% mastery
Next.js

Next.js

80% mastery
Tailwind CSS

Tailwind CSS

90% mastery
Node.js

Node.js

75% mastery
Express.js

Express.js

70% mastery
Spring Boot

Spring Boot

70% mastery
Flask

Flask

65% mastery
FastAPI

FastAPI

60% mastery
GraphQL

GraphQL

50% mastery
PostgreSQL

PostgreSQL

75% mastery
MongoDB

MongoDB

65% mastery
Firebase

Firebase

55% mastery
TensorFlow

TensorFlow

60% mastery
PyTorch

PyTorch

50% mastery
Java

Java

80% mastery
Python

Python

90% mastery
Docker

Docker

70% mastery
Kubernetes

Kubernetes

60% mastery
AWS S3

AWS S3

50% mastery
Azure

Azure

40% mastery
Git

Git

85% mastery
GitHub Actions

GitHub Actions

70% mastery
Jest

Jest

60% mastery

MY PROJECTS

AI Model Benchmarking Tool project screenshot

AI Model Benchmarking Tool

Developed a comprehensive tool to benchmark over 25 machine learning models against custom datasets. Features include PDF report generation, real-time performance dashboards via Supabase, and achieving sub-50ms latency for critical operations.

Next.jsSupabasePostgreSQLPandasPlotlyFlask
Code
Live Demo

PUBLICATION & CERTIFICATION

A blend of academic contributions and skill validations

Highlights

RL-based dynamic load balancing

40% reduction in response latency

30% improvement in resource utilization

Technologies

Reinforcement LearningKubernetesMicroservicesCloud Computing

AI-Driven Adaptive Load Balancing for Microservices

By Soubhik Roy

This research introduces AI-ALB, a reinforcement learning-based system that dynamically manages traffic in cloud-native microservices environments, achieving 40% latency reduction and 30% improved resource efficiency compared to traditional methods.

Read Full Paper

AI-Driven Adaptive Load Balancing for Microservices

By Soubhik Roy

Tap or Hover to Open

Loading your LeetCode stats...