๐Ÿ†Top 1% ATS Score (Verified)
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Farvez Anzam

Farvez Anzam

Systems Engineer

Bangalore, India

Experienced Systems Engineer with a focus on Cloud Computing, DevOps, and automation. Proven track record in AWS lifecycle management, CI/CD, containerization, and infrastructure automation. Committed to designing scalable and secure infrastructure to drive organizational success.

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AWS (EC2, S3, VPC, IAM, Lambda, CloudWatch, RDS, EKS, ECS, SageMaker)GitHub ActionsAWS CodePipelineDockerDocker ComposeKubernetes (Pods, Deployments, Services, RBAC, Ingress)TerraformAWS CloudFormationPython (Boto3)ShellWindows & Linux server decommissioningVMwareHyper-vProblem-solvingCustomer focusTeamworkGrowth mindset
list_projects() โ†’ 3 found
AWS Orphan Resource Cleanup Automation 1
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AWS Orphan Resource Cleanup Automation

Developed Python Boto3 scripts to detect and delete unused EC2, EBS, and orphan resources, reducing monthly AWS costs by 20%.

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CI/CD Pipeline for Flask App 1
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CI/CD Pipeline for Flask App

Built Jenkins pipeline with Docker & Kubernetes deployment on EKS, achieving automated testing and zero-downtime releases.

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Server Decommissioning Workflow Automation

Server Decommissioning Workflow Automation

Automated pre-checks, monitoring removal, and record updates in ServiceNow for VM/server decommissioning, reducing manual effort by 50%.

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Thomson Reuters India Pvt Ltd

September 2019 โ€“ Present

Executed AWS Lifecycle Management (LCM) events such as Lambda runtime upgrades, RDS engine upgrades, EKS/ECS upgrades, and SageMaker notebook updates, ensuring compliance and zero downtime. Led end-to-end decommissioning of AWS resources, AMS-managed services, and on-prem/VM servers, performing pre-checks, removing monitoring, shutting down, and updating SNOW records. Automated orphan resource cleanup and tagging compliance using Python (Boto3) and Shell scripts, improving efficiency by 40%. Collaborated with business units, DBAs, and application teams to plan lifecycle events and ensure smooth decommissions. Reduced decommissioning cycle from weeks to days with automation. Optimized AWS costs by cleaning up orphaned resources across accounts.

Spectrum Consultants

September 2017 โ€“ September 2019

Installed and maintained Windows 2008/2012 servers with AD, DNS, DHCP. Deployed and managed VMware ESXi hosts and VMs with vSphere. Created backup and DR strategies, tested recovery procedures, and ensured data resilience. Provided L2/L3 infra support for Nvidiaโ€™s development and business teams. Conducted DR drills to validate backup/recovery readiness. Reduced VM provisioning time by 25% through process optimization. Supported workload migration into VMware clusters for scalability.

Sky Pro Technologies

January 2016 โ€“ August 2018

Delivered L1/L2 IT support for servers, networks, and desktops. Configured Active Directory accounts, group policies, and email systems. Supported VMware/Hyper-V virtualization for client environments. Provided IT support via ticketing tools (Pega), resolving OS/app/hardware incidents. Managed Active Directory users, groups, and access provisioning. Troubleshot Outlook, BitLocker, Cisco AnyConnect, and endpoint security. Standardized laptop/desktop imaging, reducing onboarding time. Resolved 100% of tickets within SLA. Configured endpoint protection, strengthening system security.

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Prasad V Potluri Siddhartha Institute of Engineering, Vijayawada

B. TECH (Electronics & Communication Engineering)

68.5%

Siddhartha Junior College, Guntur

Higher Secondary (12th)

91.5%

Z.P. High School, Guntur

SSC (10th)

83.34%

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AWS Certified AI Practitioner

June 2025

Domain 1: Fundamentals of AI and ML (20%) Basic AI/ML concepts and terminology. Identifying use cases for AI. Overview of AWS AI and machine learning services. Domain 2: Fundamentals of Generative AI (24%) Generative AI concepts and lifecycle. Generative AI advantages, disadvantages, and business value. Domain 3: Applications of Foundation Models (28%) Foundation model design and selection. Prompt engineering and model customization. Using Amazon Bedrock and Amazon SageMaker JumpStart.

AWS Certified Cloud Practitioner

In Progress

Domain 1: Fundamentals of AI and ML (20%) Basic AI/ML concepts and terminology. Identifying use cases for AI. Overview of AWS AI and machine learning services. Domain 2: Fundamentals of Generative AI (24%) Generative AI concepts and lifecycle. Generative AI advantages, disadvantages, and business value. Domain 3: Applications of Foundation Models (28%) Foundation model design and selection. Prompt engineering and model customization. Using Amazon Bedrock and Amazon SageMaker JumpStart.

Kubernetes CKA

Planned

Domain 1: Fundamentals of AI and ML (20%) Basic AI/ML concepts and terminology. Identifying use cases for AI. Overview of AWS AI and machine learning services. Domain 2: Fundamentals of Generative AI (24%) Generative AI concepts and lifecycle. Generative AI advantages, disadvantages, and business value. Domain 3: Applications of Foundation Models (28%) Foundation model design and selection. Prompt engineering and model customization. Using Amazon Bedrock and Amazon SageMaker JumpStart.

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