// Linux to the core. I architect and automate resilient cloud platforms on AWS, Azure, GCP and Oracle — and build LLM-powered AI & automation on top. Infrastructure that's scalable, secure and built to last.
Stack
Years Experience
Projects Completed
Direct Clients
Companies
// Third-party verified — top 3% of talent worldwide.
// Govt. of Pakistan registered freelancer (PSEB) — Reg# FL21/PSEB/2025/16108, valid through Jul 2026.
15 Jul:
Muzzilla-streaming-API-services-for-Python30 Jun:
ChatHub-Chat-application-VueJs-Mongodb26 May:
DineEasy-coffee-tea-reservation-system17 Apr:
FinanceBuddy-Personal-finance-tracker05 Mar:
TuneStream-Music-streaming-service-APII design scalable DevOps strategies tailored to cloud-native environments. I automate infrastructure and operational workflows using Terraform, Ansible, Bash, and Python. Security is embedded throughout pipelines using DevSecOps practices such as secrets management and access controls. This ensures secure, compliant, and efficient delivery.
I design and maintain automated CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and Azure DevOps. Pipelines automate builds, testing, security checks, and deployments. This enables consistent, repeatable, and reliable software releases.
I build modern DevOps toolchains using Git, Docker, Kubernetes, Terraform, and Ansible. Each toolchain is selected and integrated based on project requirements and scale. The goal is automation, visibility, and simplified operations.
I implement cloud-native DevOps solutions using Docker, Kubernetes (AKS, EKS, GKE), Helm, and infrastructure as code. This includes scalable deployments, rolling updates, and high-availability architectures. Cloud platforms are optimized for performance, security, and cost.
Azure, AWS, and GCP are used to design and operate scalable cloud infrastructures. I also work with multiple VPS providers such as DigitalOcean, Linode, Vultr, and Hetzner. Platform selection is driven by performance, cost, and project requirements.
I use Docker for containerization and Kubernetes for orchestration across cloud platforms. Managed Kubernetes services such as AKS, EKS, and GKE are used for scalable deployments. Helm is used to manage application packaging and releases.
I work with Git-based workflows using GitHub, GitLab, and Bitbucket. CI/CD automation is implemented using GitHub Actions, GitLab CI/CD, Jenkins, and Azure DevOps Pipelines. This ensures consistent and automated delivery pipelines.
Infrastructure is provisioned and managed using Terraform, ARM templates, and CloudFormation. Configuration management and automation are handled using Ansible. Bash and Python are used for custom automation and scripting tasks.
Monitoring and observability are implemented using Prometheus, Grafana, ELK Stack, Datadog, CloudWatch, and Azure Monitor. These tools provide deep visibility into infrastructure and applications. Alerts and dashboards help maintain system reliability.
I implement security best practices using IAM, RBAC, firewalls, WAF, and SSL/TLS. Secrets management and access controls are integrated into CI/CD pipelines. DevSecOps practices ensure security is enforced throughout the delivery lifecycle.
I work with relational and NoSQL databases including MySQL, PostgreSQL, and MongoDB. Cloud-native storage, backup, and disaster recovery strategies are implemented to ensure data durability and availability.
I manage and support Linux-based systems including Ubuntu, CentOS, RHEL, and Debian. I also work with Windows Server environments. Systems are hardened, monitored, and optimized for production workloads.
I design, deploy, and manage scalable cloud and server infrastructures across Azure, AWS, GCP, and multiple VPS providers. This includes provisioning, configuration, patching, and performance optimization using infrastructure as code. My focus is on high availability, cost efficiency, and long-term stability.
I build secure and reliable network architectures using VPC/VNet design, firewalls, VPNs, load balancers, and access controls. Security is enforced through IAM, SSL/TLS, WAF, and infrastructure hardening. Every environment is designed with security, compliance, and resilience in mind.
I implement comprehensive monitoring and observability solutions using Prometheus, Grafana, ELK Stack, Datadog, CloudWatch, and Azure Monitor. These tools provide real-time visibility into system health and application performance. Proactive alerting ensures faster issue detection and resolution.
I provide continuous infrastructure support, incident response, and troubleshooting for production environments. By combining monitoring, automation, and log analysis, issues are resolved quickly and efficiently. This ensures minimal downtime and uninterrupted business operations.
I integrate LLMs into products using the OpenAI and Anthropic APIs, building RAG pipelines over vector databases with frameworks like LangChain. This grounds models in your own data for accurate, context-aware answers.
I design AI agents and automate end-to-end workflows with Python, n8n, and event-driven API integrations. Repetitive operations, data syncs, and decisioning are handled automatically — freeing teams to focus on higher-value work.
I deploy and operate AI workloads in production — GPU scheduling on Kubernetes, model serving, inference autoscaling, and observability. Models ship through the same secure, automated CI/CD discipline as the rest of the platform.
Excited to take on new projects and collaborate.
Let's chat about your ideas. Reach out!
2025:
Certified Kubernetes Administrator
2025:
Containers & Kubernetes Essentials
2025:
Advanced Certification in Cloud DevOps Engineering
2024:
Advanced Certification in AI for Cloud
2024:
Advanced Certification in Multi-Cloud Strategies
2023:
LFCS: Linux Foundation Certified Systems Administrator
2023:
Certification in Python
2023:
Certification in Network Support and Security
2024-2025:
Orchestrated and scaled containerized applications using Kubernetes.
2023-2024:
Utilized big data tools for advanced analytics and insights.
2020-2021:
Developed scalable event-driven applications using serverless architectures.
2021-2018:
Studied best practices for designing cloud-native applications.
2019-2020:
Leveraged AI to personalize user experiences based on behavior.
Designed and operated a production-grade Kubernetes platform across Azure (AKS), AWS (EKS), and GCP (GKE) with GitOps delivery, autoscaling, and full observability.
Client
Enterprise SaaS
Completion Time
8 months
Technologies
Kubernetes, Terraform, ArgoCD, Helm, Prometheus, Grafana
Built a retrieval-augmented AI assistant grounded in private company data — vector search, the Anthropic & OpenAI APIs, and guardrails — deployed as a scalable inference service.
Client
AI Product
Completion Time
4 months
Technologies
Python, LangChain, Vector DB, FastAPI, Docker, Kubernetes
Automated build, test, security scanning, and zero-downtime deployment across environments, plus event-driven workflow automation that cut manual ops by 70%.
Client
Fintech
Completion Time
5 months
Technologies
GitHub Actions, Jenkins, Terraform, Ansible, Bash, n8n
CEO of Practice Automations
"Umer has always been efficient, professional and quick to respond. With a great knowledge of server maintenance and support of Google, Azure and other environments, I trust him to get things done. Whether it be assistance with large data migrations or troubleshooting something small, I’m happy to have him on my technical teams!"
President of Alestra Marketing and CEO of The Vouch App
"Muhammad Umer Afzal was an important part of the team that created Vouch, a video endorsement app to share hidden gems in your community. I am grateful to have worked with him and am happy with the app his team created for us."
IT Services ,Healthcare Services, IT & Healthcare Staffing, IT Executive Search
"Good working with Muhammad, got the tasks done quickly and communicated well."
MuleSoft & Integration Solutions | Salesforce B2B Commerce | WSO2 | AWS
"I had the pleasure of collaborating with Umer Afzal on a project where he spearheaded the development and upkeep of Azure infrastructure, encompassing Azure VMs Security and project pipelines. His dedication and expertise in cloud technologies were evident throughout our collaboration. Umer is truly an exceptional tech enthusiast and a proficient cloud specialist. I highly endorse him for any endeavor where his skills and passion for technology are valued."
"Fantastic to work with, dependable and quick."
AWSAzureGCPOracleIBMAWSAzureGCPOracleIBMsalesforceGCPAzureAWSsalesforceGCPAzureAWSLinux
Ubuntu, RHEL, CentOS, Debian, system hardening, shell scripting, systemd, networkingDevOps Cloud
AWS, Azure, GCP, Oracle, IBM, Salesforce, VercelTools
GIT, Docker, Kubernetes, CI/CD, Bit Bucket, Jenkins, Terraform, Ansible, Jira, ConfluenceAI & LLMs
LLM integration, RAG, OpenAI / Anthropic APIs, LangChain, fine-tuning, prompt engineering, AI agentsAutomation
Python, Bash, n8n, workflow automation, API integrations, event-driven pipelines, GitHub ActionsBack-End
Node.js, Express, Nest, Python, Django, Flask, ASP.NET, Restful APIs, Socket.io, Websockets, GraphQLDatabases
MySQL, PostgreSQL, MongoDB, Supabase, Firebase, Vector DatabasesLearn how to use Azure Developer CLI for seamless dev-to-prod deployments with layered infrastructure in Azure Container Apps.
Explore best practices for Kubernetes configuration management to ensure reliability, security, and maintainability.
Discover how Terraform Stacks simplify infrastructure orchestration and enable scalable multi-environment deployments.
