Prathmesh S. Raut | Portfolio

About Me

I'm a passionate Software Developer and AI enthusiast currently pursuing B.E in Information Technology at International Institute of Information Technology, Pune. With a strong foundation in full-stack development and a keen interest in AI/ML applications, I specialize in building innovative solutions that solve real-world problems.

My experience ranges from developing enterprise applications to creating AI-powered healthcare solutions. I thrive in collaborative environments and enjoy leading technical teams to deliver exceptional results.

Pune, India

B.E IT Student

Full-Stack Developer

AI Enthusiast

Education

B.E in Information Technology

Present - 2028

International Institute of Information Technology

Hinjawadi, Pune

8.8 CGPA

Diploma in Computer Engineering

2022-2025

Dr. Panjabrao Deshmukh Polytechnic

Amravati

91.54%

SSC (Secondary Education)

2022

Govind New English Public School

Karanja Lad, Washim

93.20%

Experience

Software Development Engineering Intern

Compilers Technology

Amravati

Jun 2024 – Jul 2024

Developed enterprise applications for restaurant management systems using Java, Swing, and AWT
Implemented JDBC for efficient database connectivity and data management
Created both desktop and web-based GUI applications, enhancing user experience
Collaborated with team members to optimize networking functionalities within applications

Projects

Personal Finance Management System (PFMS)

Team Lead

Feb 2025 – Apr 2025 | PD Polytechnic, Amravati

A full-stack personal finance management web app used by 50+ users to track income, expenses, and savings efficiently.

Dynamic dashboards and visual analytics, improving financial literacy by 40%
Transaction categorization and budget tracking, reducing overspending by 25%
Optimized JSP–MySQL integration, reducing load time by 30%

JSP MySQL Java Web Development

GigaPath

Team Member

Sep 2025 | SKNCOE, Vadgaon, Pune (Fusion 2025 Hackathon)

A HealthTech AI platform that assists pathologists in analyzing histopathology images for tissue damage detection.

Built tiling and reconstruction pipeline processing 2000+ image tiles, enhancing efficiency by 45%
Integrated ResNet-based tissue classification model with 92% accuracy
Deployed React.js web interface and Node.js backend for real-time visualization
Reduced manual diagnosis time by 60%, accelerating clinical review workflow

React.js Node.js AI/ML ResNet Python

Real-Time Chat Application

Solo Project

2025 | Personal Project

A high-performance real-time chat application built with core Data Structures & Algorithms and WebSocket technology for instant messaging.

Implemented efficient message queuing using priority queues and hash maps for O(1) message retrieval
Designed scalable architecture with WebSocket connections supporting 1000+ concurrent users
Optimized message delivery using Trie data structure for fast user search and autocomplete
Built real-time notification system using event-driven architecture and message broadcasting
Implemented message persistence with efficient data structures reducing memory overhead by 40%

WebSocket DSA Node.js JavaScript Real-time