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Divya Hari KumarDK
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Divya Hari Kumar

@divyaharikumar

System Software Engineer at Intel who enabled pre-silicon software validation 6–12 months before silicon availability.

India
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At Intel, I contributed to pre-silicon platform system software, validation, automation, and platform enablement. I owned system software for boot-critical platform initialization and resolved 12 high-impact platform defects through debugging, validation, and root-cause analysis.

I expanded Python-based validation coverage 7× and enabled Simics full-platform simulation across 10+ domains on 5+ Intel platforms. I also designed CI/CD pipelines and GitHub Actions workflows to automate validation and engineering tasks.

In my projects, I developed AI-driven QoS/QoE network optimization and a healthcare response classification system, achieving 90.35% test accuracy on the latter. I’ve also contributed bug fixes, documentation, and feature enhancements to open-source projects including Google’s Blockly.

Experience

Work history, roles, and key accomplishments

Intel logoIN

System Software Engineering Graduate Intern

Jun 2025 - May 2026 (11 months)

Delivered 85+ engineering contributions across Intel pre-silicon platforms, owning system software for boot-critical platform initialization and resolving 12 high-impact platform defects. Expanded Python-based validation coverage 7x and enabled Simics full-platform simulation across 10+ domains.

Education

Degrees, certifications, and relevant coursework

National Institute of Technology, Puducherry logoNP

National Institute of Technology, Puducherry

Master of Technology, Computer Science and Engineering

2024 -

Grade: 9.83/10

Activities and societies: Placement Representative, University Training & Placement Cell; Class Representative, M.Tech. Computer Science & Engineering

Pursuing Master of Technology in Computer Science and Engineering. Academic Gold Medalist and branch topper with a CGPA of 9.83/10.

Jawaharlal Nehru Technological University, Hyderabad logoJH

Jawaharlal Nehru Technological University, Hyderabad

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Grade: 9.13/10

Completed Bachelor of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence & Machine Learning. Achieved a CGPA of 9.13/10.

CV

Chinmaya Vidyalaya

CBSE Class 12th, General

Grade: 93.6%

Completed CBSE Class 12th with a percentage of 93.6.

CV

Chinmaya Vidyalaya

CBSE Class 10th, General

Grade: 91.4%

Completed CBSE Class 10th with a percentage of 91.4.

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