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Infrastructure Engineer with 1+ years in DevOps & Cloud
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Assessing your cultural and operational fit
Results-driven Software & Infrastructure Engineer with hands-on experience in server provisioning, Kubernetes orchestration, CI/CD automation, and infrastructure validation at Dell Technologies R&D. Proficient in Linux environments, Python scripting, Docker/Kubernetes containerization, Jenkins pipelines, and virtualization platforms (VMware, ESXi, iDRAC). Demonstrated ability to automate deployment workflows, reduce manual effort, and perform end-to-end validation across complex hardware/software configurations.
MVJ College of Engineering, Bengaluru
B.E. · Computer Science & Engineering
August 1, 2020 – June 30, 2024
Dell Technologies R&D Center
Apprentice Software Engineer
July 1, 2025 – Present
Bengaluru, Karnataka, India
Secure Online Voting System
June 27, 2026 – Present
Built a full-stack secure voting platform with robust user authentication, session management, and vote validation to prevent unauthorized access and ballot tampering. Implemented duplicate-vote prevention logic and data integrity constraints at the database layer, ensuring audit-ready election results. Designed backend architecture for secure vote storage, real-time tallying, and results processing, demonstrating full software development lifecycle ownership.
Retinal Disorder as Biomarker for Early Human Disease Detection
June 27, 2026 – Present
Designed and trained a Convolutional Neural Network (CNN) to analyze retinal fundus images, enabling early detection of systemic human diseases with high classification accuracy. Implemented image preprocessing pipelines (normalization, augmentation, resizing) using OpenCV to improve model robustness and generalization on diverse retinal datasets. Applied deep learning classification models to predict retinal abnormalities, demonstrating the potential for non-invasive diagnostic screening at scale.
Cultural Fit Analysis
The candidate's experience at Dell Technologies R&D Center, coupled with academic projects, shows a blend of practical industry exposure and foundational knowledge. Their involvement in automation and validation aligns well with a culture focused on efficiency and reliability. The collaboration with engineering and QA teams indicates a team-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through root cause analysis and defect resolution. Their experience in cross-functional collaboration and independent ownership indicates good operational fit. The use of AI-powered developer tools suggests an adaptive and productivity-focused mindset.