
Shalini rao User
@shaliniraouser
I build full-stack applications and applied AI tools with Java, Spring Boot, Angular, and Python.
What I'm looking for
At Boeing India, I build and maintain full-stack features for internal engineering platforms using Java, Spring Boot, Angular, MySQL, REST APIs, Docker, and RabbitMQ.
I've integrated Amazon Q, Kiro, and MCP servers into development workflows, helping extend AI tooling and streamline engineering tasks. I also contribute to feature design, functional and regression testing, and delivery workflows using Git, Maven, and Azure DevOps.
Independently, I built a brain stroke detection system using Python, Flask, TensorFlow, Keras, CNNs, MobileNetV2, and OpenCV, achieving up to 96.5% accuracy on CT-image classification. I also helped lead a three-person team developing an SSIM-based signature validation system that achieved 89–92% accuracy.
I'm pursuing software engineering opportunities where I can apply strong development fundamentals, applied AI experience, and modern engineering tooling.
Experience
Work history, roles, and key accomplishments
Software Engineering Apprentice
Boeing India Private Limited
Aug 2025 - Aug 2026 (1 year)
Developed and maintained full-stack features using Java, Spring Boot, Angular, and MySQL, building REST APIs and UI components for internal engineering platforms. Integrated AI-assisted development workflows using Amazon Q and Kiro, including configuring and connecting MCP servers.
Engineering Intern
CodSoft
Feb 2025 - Mar 2025 (1 month)
Developed software projects using Python, HTML, CSS, and JavaScript during a focused one-month internship sprint. Debugged, tested, and optimized applications for improved performance, using Git and GitHub for version control and project management.
Education
Degrees, certifications, and relevant coursework
Bachelor of Engineering
Bachelor of Engineering, Computer Science and Engineering
2022 - 2026
Grade: 8.94/10
Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.94/10.
Pre-University
Pre-University, PCMB
2020 - 2022
Grade: 93%
Pre-University education in PCMB with a result of 93%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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