Shweta Nayal
@shwetanayal
Software developer intern focused on Java Spring Boot microservices, secure cloud solutions, and applied AI insights.
What I'm looking for
I’m a software developer engineer intern building backend business logic with Java and Spring Boot, with hands-on experience across invoice/order workflows and production-style development practices. I focus on reliability, clean APIs, and testable implementations.
At Arya.ag, I contributed to Invoice and Order Management microservices, including contract search with pagination, migrating API integrations from V1 to V2, and WhatsApp-based invoice notifications. I also designed and built a Delivery Order module from scratch using an asynchronous architecture and Pub/Sub messaging.
I care deeply about security and maintainability. I upgraded Spring Boot versions and resolved security vulnerabilities (CVEs) by 88% to improve the stability and security of an existing microservice, while applying layered and MVC-oriented design patterns.
I broaden my impact through projects and research: I developed an AWS cloud posture scanner with Spring Boot, React, AWS SDK, DynamoDB, and Docker, and I’ve contributed to a deepfake detection system as a research intern. I’ve also co-authored an AI & Cybersecurity research paper published on the INDIACom platform (2024).
Experience
Work history, roles, and key accomplishments
Software Developer Engineer Intern
Arya.ag
Jul 2025 - Feb 2026 (7 months)
Contributed to backend business logic for an Invoice and Order Management microservice, including contract management, billing, and invoice workflows. Implemented contract search with pagination, migrated API integrations from V1 to V2, built an asynchronous delivery order module using Pub/Sub messaging, and improved security/stability by remediating Spring Boot CVEs.
Research Intern
SHD Research Foundation
Jan 2025 - May 2025 (4 months)
Worked on an election 2025 data analysis and deepfake detection research project. Contributed to designing and developing a deepfake detection model using research methodologies, data analysis, and applied AI concepts.
Education
Degrees, certifications, and relevant coursework
Bhai Parmanand DSEU Shakarpur Campus-2
Master of Computer Applications, Computer Applications
2023 - 2025
Grade: CGPA: 9.03
Pursued a Master of Computer Applications (MCA), earning a CGPA of 9.03.
Shyama Prasad Mukherji College for Women
Bachelor of Science (Hons.), Computer Science
2020 - 2023
Grade: CGPA: 8.77
Completed a B.Sc. (Hons.) in Computer Science with a CGPA of 8.77.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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