SUBHAM PANIGRAHI

Bachelor of Technology - Computer Science & Engineering Student

Odisha, India
3roles
29skills
6education
5credentials

About

Computer Science and Engineering student with experience in MERN stack development, artificial intelligence, machine learning, and backend API development.

Experience

Vocational Training (C&IT)

Rourkela Steel Plant

June 2026 – Present · Rourkela

Currently undergoing vocational training covering introductory Artificial Intelligence, blockchain fundamentals, SAP ERP basics, industrial safety practices, workplace hazards, safety protocols, relevant industrial acts and regulations, professional ethics, workplace etiquette, organizational culture, communication skills, and responsible conduct.

MERN Stack Developer Intern

CodeBeat, Silicon University

June 2025 – July 2025 · Bhubaneswar

Built end-to-end web features using MongoDB, Express.js, React.js, and Node.js. Developed responsive React components and implemented state management for dynamic interfaces.

Artificial Intelligence Virtual Intern

Edunet Foundation

July 2025 · Remote

Covered AI fundamentals, data preprocessing, model training, and deployment best practices through an IBM-backed AI and Machine Learning virtual internship.

Education

Silicon Institute of Technology

Bachelor of Technology, Computer Science & Engineering

July 2023 – June 2027 (Expected)

CGPA: 8.40 / 10.0; Sambalpur, Odisha, India

MGM English School

Class XII – ISC

2023

79.33%; Rourkela, Odisha, India

MGM English School

Class X – ICSE

2021

91.17%; Rourkela, Odisha, India

Silicon Institute of Technology (SIT), Sambalpur

Bachelor of Technology - BTech, Computer Science

Sep 2023 - Dec 2027

Mar Gregorios Memorial English School (MGM),Rourkela

12th, ISC

2021 - 2023

Mar Gregorios Memorial English School (MGM),Rourkela

10th, ICSE

2020 - 2021

Skills

JavaPythonJavaScriptCHTML5CSS3React.jsTailwind CSSBootstrapNode.jsExpress.jsMongoDBMySQLScikit-learnPandasNumPyMatplotlibStreamlitGitGitHubVS CodePostmanObject-Oriented ProgrammingData Structures & AlgorithmsDBMSOperating SystemsComputer NetworksJWTREST APIs

Projects

AI-Powered Salary Predictor

Developed a machine learning application to predict income categories using the UCI Adult Census dataset of approximately 48K records. Trained and evaluated six classification models, achieving 86.32% accuracy with Gradient Boosting, and built an interactive Streamlit interface for real-time predictions and model testing. Technologies: Python, Scikit-learn, Pandas, NumPy, Streamlit.

ScribeBoard API – Blog CMS Service

Developed a RESTful blog Content Management System backend for managing blog posts, categories, and users. Implemented CRUD operations, JWT-based authentication, role-based access control, and MongoDB integration. Technologies: Node.js, Express.js, MongoDB, JWT. (2026)

QuickSlot – Booking & Calendar System

Built a booking management system for scheduling appointments and managing availability. Designed REST APIs for booking creation, updates, cancellations, and calendar management with efficient slot allocation workflows. Technologies: Node.js, Express.js, MongoDB, REST APIs. (2026)