Backend Developer | M.Tech CSE @ VIT | Ex-Odessa, Ex-Zoho | Skilled in Java, MySQL, REST APIs, Data Structures, HTML & CSS, React, System Design | Agile (Scrum) practitioner | Hands on experience with Git, GitHub & Linux | Strong problem solving skills with a focus on scalable backend systems
Backend Developer with strong expertise in Java, MySQL, REST APIs, and system design. At Odessa Technologies, I contributed nearly 40% of a major banking project and was recognized with a "Super Star" award. I combine problem-solving ability with mentoring experience. My time at Zoho as an intern also gave me hands on experience building Java based web apps. Currently pursuing an M.Tech in Computer Science & Engineering at VIT. I am strengthening my technical foundation while preparing for backend engineering roles and competitive coding challenges.
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Developed a personal portfolio website as my first project, using HTML, CSS, and JavaScript to showcase skills and projects. Gained hands on experience in responsive design, UI components, and project deployment
A simple and intuitive task management app to add, mark, and organize daily tasks. Designed to practice DOM manipulation, event handling, and responsive UI
Designed and developed a scientific calculator using HTML, CSS, and JavaScript, focusing on accurate mathematical operations, clean UI design, and intuitive user interaction. Deployed end-to-end using GitHub Pages.
AI Task Automation Platform is an intelligent productivity system that unifies Google Calendar, to-do lists, and reminders into a single dashboard for seamless daily planning. This project is an extended version of my initial to-do list application, enhanced to handle real-world scheduling needs more effectively. It features chatbot integration that allows users to manage tasks and schedules using natural language interactions. The system focuses on reducing manual effort and helping users stay organized through smart automation.
Designed and developed a sample Tamil e-newspaper website to present regional news content in a clean and readable digital format. Built using HTML, CSS, and JavaScript, and deployed end-to-end using GitHub Pages. The project focuses on content structure, UI readability, and basic frontend best practices. Designed and developed a sample Tamil e-newspaper website to present regional news content in a clean and readable digital format. Built using HTML, CSS, and JavaScript, and deployed end-to-end using GitHub Pages. The project focuses on content structure, UI readability, and basic frontend best practices.
Phoenix Dial is a sales call tracking system designed to provide end-to-end visibility into call activities and performance metrics. It supports lead assignment, call logging, outcome tracking, and structured follow-up management. Managers gain actionable insights into call duration, response quality, and individual performance trends. The platform was built as a practical, real world solution to improve sales efficiency and operational transparency. It enforces accountability through centralized data capture and analytics-driven reporting. The system was implemented using the MERN stack, with a scalable backend, RESTful APIs, and a responsive frontend architecture.
A structured system to track, organize, and manage stock data efficiently, emphasizing clean data handling and real world operational workflows. Built to enhance accuracy, maintainability, and clarity in day-to-day stock management processes.
Created a structured analytics system to explore Aadhaar enrollment patterns, focusing on data accuracy, clarity and real world applicability.
Built a Journal Automation system to manage multi account transactions with real-time Money In/Out tracking and dynamic opening/closing balance calculation. Designed with a backend first approach focusing on clean data modeling, transaction consistency, and scalable accounting workflows.
Developed an appointment booking and scheduling system that manages users, time slots and appointments through REST APIs. The system uses a relational database to store and organize scheduling data while maintaining proper relationships between users, available slots, and bookings. It supports creating, updating, and managing appointments while ensuring consistent and structured data handling. The project demonstrates how well designed APIs and structured database models help build reliable backend systems for applications that require appointment and schedule management.
Developed an AI-powered healthcare web platform during VMedithon that detects potential ear and eye conditions from uploaded images, helping doctors with faster and more accurate preliminary analysis. The platform acts as a smart assistant by generating concise summaries of prescriptions, reducing manual effort and improving clarity for patients. It also includes features such as online appointment booking for seamless doctor consultations and an integrated chatbot to handle basic patient queries and provide guidance, making the overall healthcare experience more efficient and accessible.
Developed a real time child tracking system to enhance safety by continuously monitoring location and movement using GPS and IoT technologies. Enabled accurate, low latency location updates with seamless communication between device and application. Implemented geofencing and anomaly detection to trigger instant alerts for boundary breaches or unusual activities. Designed a user friendly interface for easy monitoring, with a scalable backend to support multiple users and devices.
Contributed to the VoiceIT Student Club website as part of the frontend team. Worked on building and improving UI components using HTML, CSS, and JavaScript. Collaborated in a team environment to enhance usability and ensure a responsive design.
Designed and simulated an energy harvesting system using MATLAB Simulink to efficiently convert and store power. Integrated components like a rectifier, buck converter, and battery to ensure stable DC output and continuous charging.
Designed and developed a real-time UAV swarm security system integrating AI-driven intrusion detection with blockchain-based secure communication. The system uses machine learning models to detect anomalies in network traffic and ensures tamper-proof data exchange using Hyperledger Fabric with AES-256 and ECC encryption.
B Gnanasankari
gnanasankari.b2025@vitstudent.ac.in
VIT Chennai
