Hi, I'm Kamaleshwaran.S
Aspiring Software Engineer
B.E- Computer Science & Engineering
Linkedin GitHub Contact meABOUT ME
My introductionSoftware Developer (Fresher) with strong fundamentals in Java, Python, SQL, and backend development. Experienced in building real-world, multi-module applications with clean architecture, REST-style CRUD operations, and optimized database design. Actively solving algorithmic problems and eager to contribute to scalable software systems in a collaborative engineering environment.
SKILLS
My technical levelProgramming Languages
- Java
- Python
Frontend
- HTML, CSS
- JavaScript
Frameworks
- Bootstrap
Databases
- MySQL
- MongoDB
Tools/DevOps
- Git
- GitHub
- Docker
Build Tools & API Testing
- Maven
- Postman
Operating Systems
- Windows
- Linux (Ubuntu)
IDE/Editor
- VS Code
- IntelliJ IDEA
Productivity Tools
- MS Office (Microsoft Office)
Currently Learning
- React.js
- Kubernetes
QUALIFICATION
My personal journeySSLC
Dharam Hinduja MatriculationHigher Secondary School, Chennai
HSC
Dharam Hinduja MatriculationHigher Secondary School, Chennai
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UG (B.E - CSE)
Aalim Muhammed Salegh College of Enginnering, Chennai
PROJECTS
Some of my recent work
MediHub - Healthcare Platform
MediHub is a comprehensive, full-stack Healthcare Platform designed to streamline healthcare facility operations.
Built with modern technologies, it provides integrated solutions for managing doctors, patients, appointments, billing, electronic health records, staff, and pharmacy operations all in one centralized platform.
Tools:Java Spring Boot, MySQL, Html , CSS, JavaScript
Healthcare Prediction on Diabetic Patients
A machine learning model for early diabetes prediction using patient data.
Tools: Python, Pandas, Scikit-learn
Netflix Dataset Analysis – Content Trends and Strategic Insights
A data analytics project that explores Netflix’s Movies and TV Shows dataset to uncover global content trends,
genre patterns, and strategic insights using data visualization.
Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook
SecurePass Vault - Java CLI Password Manager
A command-line password manager built in Java for secure credential storage.
Tools: Java
Freelance Platform (MERN)
A freelancing platform using the MERN stack.
Tools: React, Node.js, MongoDB
Bridge - IPv6 to IPv4 Communication using NAT64 [Academic Project]
Implementation and evaluation of cross-protocol communication between IPv6 and IPv4 using NAT64.
Tools: Docker, GO, IPV6, IPV4, Docker-Network, DNS64, NAT64
Employee Management System
A system for managing employee records and HR operations.
Tools: Java, MySQL
E-Commerce Application on IBM Cloud Foundry
An e-commerce web application deployed on IBM Cloud.
Tools: HTML, CSS, JavaScript, IBM Cloud
Airbnb Hotel Booking Data Analysis
Analyzed Airbnb hotel booking data using Python to uncover insights on pricing trends, availability, and customer preferences.
Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook
Medical Management System
A Java-based system for managing patient records, appointments, and billing.
Tools: Java, MySQL, JDBC
Cric-Sync (Unstoppables CC) [In-Progress]
"Cric-Sync" could be a cricket team management application designed for players. The main goal of the project is to manage player stats, match history, team schedules, player rankings, and possibly integrate features like real-time score tracking, performance analytics.
Tools: Flask, MySQL, Html , CSS, JavaScript
EXPERIENCE [Internship]
1.Shell | Edunet Foundation
Green Skills using AI technologies - Virtual Internship - Nov 2024 - Dec 2024Developed a Healthcare Prediction System using machine learning and data analytics. Gained expertise in Python and predictive modeling. Collaborated with industry mentors and showcased the project to experts at a regional event.Earned certifications from AICTE, Edunet, and industry partners. Skills: Python, AI/ML, Green Technology, Project Management.
2. VOIS & Vodafone Idea Foundation | Edunet Foundation
Conversational Data Analytics with LLMs - Virtual Internship - Sep 2025 - Oct 2025Selected for a 4-week AICTE-certified internship under the VOIS for Tech Program, focusing on Conversational Data Analytics with Large Language Models (LLMs). Participated in mentor-led sessions and domain-specific case studies across agriculture, science & technology, and business. Independently worked on a project applying NLP techniques and conversational AI models to real-world datasets, enhancing analytical and problem-solving skills. Skills: Python, NLP, LLMs, Data Analytics, Project-based Learning.
