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Devops Engineer with 3+ years in GCP, AWS, Kubernetes, and AI.
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Assessing your cultural and operational fit
Results-driven DevOps & Cloud Engineer with 3+ years of experience designing and scaling cloud infrastructure on GCP, AWS, and Azure. Proven track record of reducing manual intervention by 40% through automation, improving AI model accuracy by 22% on Vertex AI, and delivering CI/CD pipelines that accelerate release velocity. Holds two Google Cloud certifications and has published peer-reviewed research in ML. Adept at Kubernetes orchestration, Terraform IaC, and security-first IAM design.
Dr. Babasaheb Ambedkar Technological University, Lonere
M.Tech · Computer Science & Engineering
August 1, 2023 – June 30, 2025
Dr. Babasaheb Ambedkar Technological University, Lonere
B.Tech · Computer Engineering
August 1, 2018 – June 30, 2022
HisanLabs Pvt Ltd
DevOps Engineer Intern
June 1, 2025 – Present
India
Tata Consultancy Services (TCS)
System Engineer – Cloud Engineer & Gen AI Specialist
August 1, 2022 – March 1, 2024
Pune, Maharashtra, India
Mass Technologies
Python & Machine Learning Intern
January 1, 2022 – July 1, 2022
India
Google Cloud Certified – Associate Cloud Engineer
Google Cloud
June 1, 2026 – Present
Google Cloud Certified – Professional Google Workspace Administrator
Google Cloud
June 1, 2026 – Present
Google Cloud Skills Boost Profile
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across different companies (HisanLabs, TCS, Mass Technologies) and roles (DevOps Engineer Intern, System Engineer – Cloud Engineer & Gen AI Specialist, Python & ML Intern) demonstrates adaptability and a broad skill set. Their involvement in both traditional DevOps and emerging Gen AI areas suggests a willingness to learn and embrace new technologies. The certifications and research publications indicate a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The multi-cloud expertise also shows flexibility in working with various technology stacks.
Soft Skills & Operational Fit
The candidate's resume highlights a results-driven approach, evidenced by quantifiable achievements such as reducing manual intervention by 40% and improving AI model accuracy by 22%. Their experience in designing scalable, highly available, and secure cloud infrastructure indicates strong problem-solving and operational skills. The ability to work with multi-cloud environments and implement CI/CD pipelines suggests adaptability and a focus on efficiency. The mention of publishing peer-reviewed research also points to a proactive and analytical mindset.