Sheetal Ahuja

Software Engineer

Bengaluru, Karnataka, India3 yrs 3 mos experience

Key Highlights

Expert in backend development with Java and Spring Boot.
Proven track record in building scalable platforms.
Strong focus on problem-solving and continuous learning.

Stackforce AI infers this person is a Backend Developer specializing in E-commerce and Automotive solutions.

Contact

Skills

Core Skills

JavaSpring BootObject Detection

Other Skills

REST APIsSQLYOLOPostgreSQLGoogle Cloud Platform (GCP)DSAObject-Oriented Programming (OOP)Data Structures

About

Software Engineer with experience in backend development using Java, Spring Boot, REST APIs, and SQL. Worked on building scalable internal platforms and backend services focused on improving system efficiency, reducing manual operations, and supporting reliable business workflows. Interested in distributed systems, backend architecture, and building clean, maintainable services. Familiar with microservices, Kafka, Docker, PostgreSQL, and cloud technologies, with a strong focus on problem-solving and continuous learning.

Experience

3 yrs 3 mos

Total Experience

2 yrs 5 mos

Average Tenure

10 mos

Current Experience

Bhive workspace

Software Engineer

Aug 2025 – Present · 10 mos

Worked on backend development using Java, Spring Boot, REST APIs, and SQL to build and improve internal platforms, workflow automation, and resource management systems.

JavaSpring BootREST APIsSQL

Wayfair

Software Engineer Intern

Jan 2025 – Jun 2025 · 5 mos · Bengaluru · On-site

Contributed to building a scalable Campaign Management Platform for Wayfair using Java, Spring
Boot, REST APIs, and SQL, helping modernize campaign operations by replacing manual Excel-based workflows with centralized backend services for campaign creation and tracking.
Developed and enhanced backend APIs and validation workflows for managing campaign metadata, including CM Codes, UTM parameters, destination URLs, and external tracking identifiers, improving
data consistency, reducing manual errors, and streamlining campaign onboarding processes.
Collaborated with cross-functional teams to implement centralized campaign configuration storage and automated tracking workflows, contributing to improved operational efficiency, better campaign traceability, and faster execution across multiple marketing channels.

JavaSpring BootREST APIsSQL

Thapar institute of engineering & technology

ELC Internship

Jun 2024 – Jul 2024 · 1 mo · Patiala, Punjab, India · On-site

Developed an Internet of Vehicles (IoV) system using YOLO for real-time road monitoring and object detection, achieving 79% model accuracy on a dataset with 1,200+ images.

YOLOObject Detection