Headline

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About

Cloud Engineer with a strong DevOps mindset, focused on building, automating, and operating scalable cloud-native systems. I specialize in infrastructure automation, CI/CD pipelines, and intelligent workflow orchestration using Agentic AI to reduce operational overhead and improve reliability. My work spans cloud platforms, containerization, monitoring, and security-aware deployments, with growing exposure to AIOps, DevSecOps, and applied AI engineering for real-world infrastructure use cases. I enjoy designing systems where automation, observability, and resilience are first-class citizens. Actively seeking Cloud / DevOps-oriented roles where I can contribute to automation-driven platforms and evolve toward AIOps, DevSecOps, and AI-enabled infrastructure engineering.

Location

Mumbai

Work experience

Network Engineer virtual at Zscaler, Apr 2026 - May 2026 · 2 mos, • Worked with networking fundamentals including TCP/IP, DNS, routing, and firewall policies in simulated enterprise environments. • Analyzed secure access workflows and supported basic network troubleshooting activities. • Assisted in identifying connectivity and access control issues aligned with availability and security requirements.

DevOps Engineer at TrainWithShubham (TWS), Jan 2026 - Apr 2026 · 4 mos, • Supported cloud design and build activities by provisioning and managing AWS infrastructure (EC2, S3, IAM, CloudWatch, RDS) for production-like environments. • Monitored system availability against service expectations, assisting in incident identification, outage resolution, and service restoration. • Automated deployment workflows using GitHub Actions, improving release reliability and reducing manual operational effort. • Configured and administered Linux servers, performing troubleshooting to restore services during simulated production incidents. • Documented operational procedures, recovery steps, and deployment standards to support continuity and knowledge transfer.

AI-ML Virtual internship at Google for Developers, Oct 2025 - Dec 2025 · 3 mos, • Developed Python-based data pipelines to process, validate and manage structured and unstructured datasets for analytics and ML workflows. • Implemented data quality checks, validation logic, and retention practices to ensure the reliability of downstream systems. • Automated recurring data preparation tasks, improving operational consistency and efficiency. • Collaborated in a virtual team environment to analyze issues and communicate findings effectively.

Education

Master's Degree, Computational Science, Nagindas Khandwala College

Bachelor's Degree, Computer Science, University of Mumbai