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Yami SunilYS
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Yami Sunil

@yamisunil

Software development intern building AI-powered test automation and REST APIs, blending C++/Qt, web, and ML.

India
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What I'm looking for

I’m looking for a role where I can build reliable software with strong automation—using REST APIs, CI/CD, and AI/ML to deliver measurable quality improvements while collaborating in Agile teams.

I’m a Software Development Intern who builds practical, high-impact engineering solutions—especially where automation and intelligence meet. At Siemens Technology and Services, I developed and automated test plans and unit test cases using AI-powered agents and n8n workflows, driving code coverage from 10.7% to 85%, 24.7% to 89.3%, and 48.2% to 88.1%.

I also thrive across the full lifecycle: I built REST API-integrated automation pipelines for test case generation and code analysis, contributed C++/Qt development and testing in a Linux environment, and worked in Agile sprint ceremonies with cross-functional code reviews. My projects reflect my focus on applied AI and systems design—like an Oncoverse multi-agent breast cancer diagnosis system (89.84% accuracy) using DenseNet CNN, knowledge-graph reasoning, and LLM-driven explanations, plus an intelligent IoT time-series analytics pipeline for forecasting, anomaly detection, and dashboard visualizations.

Experience

Work history, roles, and key accomplishments

SS
Current

Software Development Intern

Jan 2026 - Present (5 months)

Developed AI-agent and n8n-driven test plans and unit tests across multiple repositories, raising code coverage from 10.7% to 85% and improving other suites to 89%+. Built REST API-integrated automation pipelines for test case generation and code analysis and supported C++/Qt development, testing, and Git-based code reviews in an Agile environment.

AT

Software Development Intern

Alt-D Technologies

Developed a responsive web application to manage and display football club, player, and manager information. Built interactive UI components and navigation to improve accessibility and user experience across devices.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology (VIT Vellore) logoVV

Vellore Institute of Technology (VIT Vellore)

B.Tech in CSE, Computer Science and Engineering (Internet of Things)

Grade: CGPA 8.54

Pursuing a B.Tech in Computer Science and Engineering with specialization in Internet of Things. Currently maintaining CGPA of 8.54, with expected graduation in July 2026.

NS

Nirmala Public School

Class XII, Higher Secondary Education (CBSE)

2019 - 2021

Grade: 95.6%

Completed Class XII (CBSE) with 95.6% during 2019–2021.

Tech stack

Software and tools used professionally

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