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Devops Engineer with 2+ years in Cloud & Automation
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Assessing your cultural and operational fit
Karishma Singhi is a DevOps Engineer with 2.7 years of experience specializing in cloud-based infrastructure, automation, and CI/CD pipelines. She has a strong background in monitoring with Prometheus and Grafana, Kubernetes deployment, and troubleshooting. Her skills span across AWS, GCP, Azure, Python, Bash, and various other essential DevOps tools, demonstrated through her professional roles and personal projects.
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Bachelors of Technology · Computer Science
August 1, 2019 – June 30, 2023
Virtue cloud
Devops Engineer
January 1, 2024 – Present
Indore, Madhya Pradesh, India
Alts wealth Pvt. Ltd
Software Tester Intern
September 1, 2023 – December 1, 2023
India
Containerized API Deployment
June 1, 2026 – Present
• Designed and implemented a Docker-based solution for deploying APIs with Kubernetes orchestration. • Improved deployment efficiency and minimized downtime using automated scaling and rollback strategies.
Youtube Trending Video Analysis
June 1, 2026 – Present
• Analysed youtube trending videos using mockdata Created a tool to analyze trending YouTube videos based on metrics like views, likes, and comments using Python and data processing algorithms. • Visualized data trends using Matplotlib, providing insights into user engagement patterns.
Movie Recommendation System
June 1, 2026 – Present
• Developed a recommendation engine using collaborative filtering and content-based filtering. • Implemented a Flask-based API to serve movie recommendations. • Integrated with a frontend UI for seamless user experience.
Python for Data Science & Automation
Coursera
June 1, 2026 – Present
Google Cloud Fundamentals
June 1, 2026 – Present
Qualifies as Kubecon cloud native scholar_21
Linux events
January 1, 2021 – Present
Cleared first round of TCS Codevita'20
TCS Codevita
January 1, 2020 – Present
Cultural Fit Analysis
The candidate's involvement in personal projects like 'Youtube Trending Video Analysis' and 'Movie Recommendation System' showcases a diverse interest beyond core DevOps, indicating curiosity and a willingness to explore different technical domains. Their participation in events like Kubecon and TCS Codevita suggests an engagement with the broader tech community and a drive for continuous learning. The current role as a DevOps Engineer aligns well with the target role, indicating a clear career path and focus. The breadth of skills listed (C++, Python, Bash, SQL, CI/CD, Linux, Git, Docker, Kubernetes, Terraform, AWS, GCP, Azure) suggests adaptability and a strong foundation for a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and skill development, as evidenced by certifications and personal projects. Their experience in troubleshooting and incident management suggests a problem-solving mindset and operational awareness. The ability to automate tasks indicates an efficiency-driven approach. However, the short tenure in the current role and limited professional experience overall suggest a need for further development in senior-level decision-making and strategic planning.