Aditya Gupta

Software Engineer

India 1+ yrs exp 82 · Excellent

About

Software Engineer with 1 year of professional experience in Java, Spring Boot, REST API development, and Data Analytics. Experienced in building scalable enterprise applications, optimizing database performance, and delivering data-driven solutions. Proficient in Python, SQL, Machine Learning fundamentals, and data visualization. Strong analytical and problem-solving skills with hands-on experience in software development, production support, and predictive analytics.

Skills & Expertise (29)

Python Intermediate

6.5/10

Years Exp

Postman Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

VS Code Intermediate

6.0/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

JavaScript Intermediate

5.5/10

Years Exp

Java Intermediate

5.5/10

Years Exp

Agile methodologies Intermediate

5.0/10

Years Exp

Node.js Intermediate

5.0/10

Years Exp

DBMS Intermediate

5.0/10

Years Exp

Full-Stack Development Intermediate

5.0/10

Years Exp

REST APIs Intermediate

5.0/10

Years Exp

Microservices Architecture Intermediate

5.0/10

Years Exp

MongoDb Intermediate

5.0/10

Years Exp

IntelliJ IDEA Intermediate

5.0/10

Years Exp

Spring Boot Intermediate

5.0/10

Years Exp

ReactJS Intermediate

5.0/10

Years Exp

Jupyter Notebook Beginner

4.0/10

Years Exp

Insomnia Beginner

4.0/10

Years Exp

Power BI Beginner

4.0/10

Years Exp

Seaborn Beginner

4.0/10

Years Exp

Matplotlib Beginner

4.0/10

Years Exp

scikit-learn Beginner

4.0/10

Years Exp

Machine Learning Beginner

4.0/10

Years Exp

Data Analytics Beginner

4.0/10

Years Exp

Pandas Beginner

4.0/10

Years Exp

NumPy Beginner

4.0/10

Years Exp

Work Experience

Software Analyst

Capgemini

Apr 2025 - May 2026

Engineered and enhanced enterprise-grade applications for Stellantis using Angular, Spring Boot, REST APIs, and SQL, supporting scalable automotive solutions. Resolved 50+ production defects and code-quality issues while remediating SonarQube vulnerabilities, improving maintainability and application reliability by 30%. Optimized SQL queries and streamlined data-processing workflows for IKEA, contributing to operational savings of approximately $4 million. Monitored APIs, batch jobs, application services, and database performance, maintaining 92% system availability while ensuring SLA compliance. Conducted incident management, root-cause analysis, API validation using Postman, and SQL-based data verification, reducing average issue-resolution time by 25%.