Profile
FARVEZ ANZAM
Senior DevOps & Cloud Infrastructure Engineer
Senior DevOps & Cloud Infrastructure Engineer with 10+ years of enterprise experience at Thomson Reuters. Led the decommissioning of 2,400+ AWS resources using Python/Boto3 automation, compressing a multi-week cycle into days. Specializes in AWS lifecycle management, infrastructure automation, CI/CD pipelines, Kubernetes, and Terraform.
Photographed for this issue
Skills
AWS·EC2·S3·VPC·IAM·Lambda·CloudWatch·RDS·EKS·ECS·SageMaker·CodePipeline·Jenkins·GitHub Actions·GitLab CI·Docker·Docker Compose·Kubernetes·Terraform·AWS CloudFormation·Python·Boto3·Bash/Shell·PowerShell·Splunk·Grafana·Prometheus·LangChain·OpenAI API·FastAPI·RAG Pipelines·Linux·Windows Server·VMware ESXi·Hyper-V·ServiceNow·JIRA·ansible
Selected Work
AWS Orphan Resource Cleanup Automation
Built Python/Boto3 scripts to detect and safely delete unused EC2 instances, EBS volumes, Elastic IPs, and snapshots across multiple AWS accounts. Implemented dependency checks to prevent accidental removal of live resources. Reduced monthly AWS costs by 20% and improved tagging compliance organization-wide.
Enterprise RAG Pipeline
Engineered a production RAG system using FAISS vector store, cross-encoder re-ranking, LLaMA-3 via Groq, FastAPI, and Docker. Implemented response caching to reduce latency from 18 seconds to under 1 second. Delivered a full MLOps pipeline covering chunking, embeddings, retrieval, and grounded generation with citations.
SourceCI/CD Pipeline — Flask App on AWS EKS
Designed a Jenkins pipeline to containerize a Flask application with Docker and deploy it on Amazon EKS. Achieved zero-downtime rolling deployments and automated testing at every stage, ensuring reliable and rapid releases.
resumeportfolio.in — AI SaaS
Developed and launched a full-stack AI product using Next.js, Supabase, OpenAI API, and Razorpay. The platform is live in production with real paying users, demonstrating end-to-end product ownership and seamless AI integration alongside infrastructure engineering expertise.
Experience
Thomson Reuters India Pvt Ltd
Sep 2019 – Present
Situation: Managed AWS Lifecycle Management (LCM) events at enterprise scale, requiring zero downtime and strict compliance. Action: Led the end-to-end decommissioning of 2,400+ AWS resources using Python/Boto3 automation, and automated orphan resource cleanup and tagging compliance with Python/Boto3 and Shell scripts. Supported a large-scale EKS cluster upgrade with zero downtime. Result: Reduced the decommissioning cycle from weeks to days, eliminated orphaned resources across accounts, and optimized AWS costs.
Spectrum Consultants — Client: Nvidia
Sep 2017 – Sep 2019
Situation: Maintained Windows Server 2008/2012 infrastructure with Active Directory, DNS, and DHCP for Nvidia development teams. Action: Deployed VMware ESXi hosts and vSphere VMs, designed disaster recovery and backup strategies, and conducted recovery drills to validate data resilience. Provided L2/L3 infrastructure support for business-critical systems. Result: Reduced VM provisioning time by 25% and ensured high availability and data integrity.
Education
Prasad V Potluri Siddhartha Institute of Engineering, Vijayawada
B.Tech, Electronics & Communication Engineering
Siddhartha Junior College, Guntur
Higher Secondary (12th)
91.5%
Certifications
AWS Certified AI Practitioner
AWS Certified Cloud Practitioner
In Progress
Certified Kubernetes Administrator (CKA)
Planned