My Work
A showcase of technical projects solving real-world problems.
Industrial Gate Pass
System (RINL)
Engineered a mission-critical Gate Pass Management System for Visakhapatnam Steel Plant. The system automated employee validation, replacing manual paper logs with a secure role-based digital workflow.
Tech Stack
Key Challenge
Integrating legacy systems with modern secure authentication protocols required a custom middleware solution.
StudySync
Learning Platform
Engineered a scalable Learning Management System (LMS) to enhance student engagement and course delivery. Built on a secure Spring Boot architecture, the platform enables real-time activity tracking and seamless user enrollment management, providing granular insights into student performance.
👨💻 Your Role
- • Designed and developed backend services using Spring Boot.
- • Implemented JWT-based authentication and role-based access control.
- • Designed MySQL schema for users, courses, enrollments, and activity logs.
- • Built asynchronous event tracking to capture student activity without performance impact.
Key Features
- Comprehensive Course & Enrollment Management.
- Granular Student Activity Tracking.
- Secure Authentication (Spring Security + JWT).
- Responsive Student Dashboard (React).
🚀 Planned Enhancements
- Instructor analytics dashboards with engagement trends.
- Real-time updates using WebSockets.
- Caching frequently accessed data using Redis.
Architecture Overview
- REST-based backend using Spring Boot with layered architecture.
- Stateless authentication using JWT for secure API access.
- Asynchronous event handling for user activity tracking.
- Designed to be extensible into microservices.
Tech Stack
Core API Responsibilities
- User authentication & authorization endpoints.
- Course and enrollment management APIs.
- Activity tracking services for user interactions.
Performance & Scalability
- Used asynchronous processing to avoid blocking user requests.
- Designed normalized database schema to handle large volumes of log data.
AI-Powered Postal
Grievance System
Designed and implemented an AI-powered Grievance System using NLP to modernize postal complaint handling. By automatically classifying and prioritizing incoming complaints based on sentiment, I reduced manual triage effort by ~50% and significantly improved response times for critical issues.
Key Features
- Automated complaint classification using NLP models.
- Real-time priority tagging based on sentiment analysis.
- Admin dashboard for visualizing grievance trends.
- Multi-lingual support for wider accessibility.
Tech Stack
Challenges Solved
Integrating the Python NLP service with the Java Spring Boot backend required a robust API design. We implemented a microservices approach to ensure scalability and fault tolerance.
Crop Risk
Assessment System
Engineered an intelligent predictive analytics platform to forecast and mitigate agricultural crop risks. By analyzing historical weather patterns, soil conditions, and rainfall metrics using machine learning algorithms, the platform delivers proactive risk advisories to protect crop yields.
Key Features
- Machine Learning-based vulnerability and risk scoring.
- Multi-parameter analysis (soil chemistry, rainfall, temperature).
- Data-driven crop advisory insights dashboard.
- RESTful API integration for automated prediction pipelines.
Tech Stack
Challenges Solved
Handling noisy meteorological datasets and normalizing heterogeneous soil attributes required extensive feature engineering and model tuning to prevent overfitting.
Library
Management System
Designed and developed a comprehensive Library Management System to streamline asset tracking and user operations. The platform supports role-based access for admins and students, successfully digitizing 5,000+ book records and reducing checkout processing time by 40%.
Key Features
- Role-based authentication (Admin vs. Student).
- Real-time book availability checker.
- Automatic fine calculation for overdue returns.
- Transaction history layout.
Tech Stack
Challenges Solved
Designing a normalized database schema to handle complex relationships between books, members, and transactions without data redundancy was a key learning outcome.
Ready to create impact?
I'm currently seeking roles where I can deploy scalable specialized solutions. Let's connect!