public class JaidityaSinha {
String university = "Indian Institute of Technology Hyderabad";
String year = "Sophomore";
String major = "Industrial Chemistry";
String[] interests = {
"Backend Development",
"Machine Learning",
"Computer Vision",
"System Design",
"Competitive Programming"
};
String currentFocus =
"Building scalable backend systems";
}- Sophomore at IIT Hyderabad
- Building backend applications with Spring Boot
- Researching Image Dehazing using Deep Learning
- Passionate about clean architecture & scalable software
- Currently exploring Docker, AWS & Microservices
| Qualification | Institute | Score |
|---|---|---|
| B.Tech. Industrial Chemistry | Indian Institute of Technology Hyderabad (2025 - Present) | CGPA: 9.38/10 |
| CBSE Class XII | GD Goenka Public School, Patna (2025) | 93.8% |
| CBSE Class X | GD Goenka Public School, Patna (2023) | 97.8% |
A production-ready fleet management backend built with Spring Boot, featuring secure authentication, role-based authorization, and RESTful APIs for managing vehicles, drivers, trips, maintenance, and fuel logs.
- JWT Authentication & Spring Security
- Role-Based Access Control (RBAC)
- Vehicle & Driver Management
- Trip Scheduling & Tracking
- Fuel & Maintenance Logs
- Swagger API Documentation
- PostgreSQL Database Integration
A computer vision research project focused on restoring hazy images using multiple U-Net architectures trained on the RESIDE dataset.
- Baseline U-Net
- Channel Attention U-Net
- FFT Enhanced Skip Connections
- Depthwise Separable U-Net
- PSNR & SSIM Evaluation
- Extensive Model Benchmarking
A complete ETL and analytics platform for IPL match data using PostgreSQL, featuring advanced SQL queries for extracting player, team, and match insights.
- Automated ETL Pipeline
- Advanced SQL Analytics
- Window Functions
- Common Table Expressions (CTEs)
- Player & Team Performance Analysis
- Optimized Database Schema
- Spring Boot Backend Development
- Docker & AWS
- System Design
- Advanced DSA
- Efficient Deep Learning Architectures