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Cloud DevOps Engineer with 1+ years in AWS & CI/CD Automation
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Assessing your cultural and operational fit
Cloud & DevOps Engineer skilled in AWS, CI/CD automation, and Infrastructure as Code, with hands-on experience reducing deployment time by 80% and cutting cloud costs by 15%. Proven ability to design scalable, secure, and reliable cloud-native solutions using Docker, Kubernetes, and Terraform. Passionate about optimizing systems for performance, security, and business impact.
Mukesh Patel School of Technology Management and Engineering
B.Tech. · Computer Engineering
August 1, 2021 – June 30, 2025
Anayasmi Infotech
Software Developer
July 1, 2025 – Present
Navi Mumbai, Maharashtra, India
Anayasmi Infotech
Full Stack / DevOps Trainee Intern
January 1, 2025 – June 1, 2025
Navi Mumbai, Maharashtra, India
F13 Technologies
AWS Cloud Intern
May 1, 2024 – August 1, 2024
New Delhi, Delhi, India
Loyalty Bonus App (Node.js + Angular + PostgreSQL)
January 1, 2025 – December 31, 2025
Built scalable database schema handling 10,000+ transactions/month. Automated reward claim workflows, cutting manual processing time by 60%. Integrated real-time notifications, boosting user engagement by 25%.
Vulnerability Scanner for Web Apps (Python)
January 1, 2024 – December 31, 2024
Developed scanning tool that identified 50+ high/medium vulnerabilities in test environments. Implemented severity-based reporting, enabling faster remediation cycles. Used Git for version control and structured CI/CD pipeline for ongoing improvements.
Content Recommendation System (AWS Personalize)
January 1, 2024 – December 31, 2024
Deployed a recommendation engine serving real-time suggestions for 1,000+ sample users. Designed ETL pipelines for 5M+ behavioral data points using AWS Lambda & S3. Increased recommendation accuracy by 18% through model tuning and analytics feedback loop.
Machine Learning Web App Deployment (AWS EC2 + SageMaker)
January 1, 2023 – December 31, 2023
Deployed ML models on SageMaker with 92% prediction accuracy. Automated training pipeline using S3 + Lambda, reducing model retraining time by 50%. Configured monitoring + alerts, reducing downtime for pipeline failures by 70%.
AWS DevOps Navigate (Technical)
Unknown
June 1, 2026 – Present
AWS Certified Machine Learning
Unknown
June 1, 2026 – Present
AWS Partner: Data Analytics | Cloud Economics | Technical Accredited
Unknown
June 1, 2026 – Present
Google: Foundations of Cybersecurity
June 1, 2026 – Present
AWS Certified Cloud Infrastructure
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including ML deployments, recommendation systems, and security tools, indicates a broad interest in technology and a proactive learning attitude. Their experience across different companies (even if internships) and roles (Full Stack, DevOps, Cloud Intern) suggests adaptability. The certifications in AWS and Google cybersecurity further highlight a commitment to continuous learning and professional development, which aligns with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project descriptions, such as reducing deployment time, cutting cloud costs, and improving recommendation accuracy. Their experience in collaborating with cross-functional teams indicates good teamwork and communication. The focus on automation and efficiency aligns well with operational excellence in a DevOps role.