welcome to my portfolio

<Mughees Mirza />

const role = "MLOps Engineer"

Bridging Machine Learning & Infrastructure with scalable, secure, and intelligent systems. Building the pipelines that turn models into production-grade products.

Mughees Mirza

career.timeline()

My Journey

What I've been up to — from where I am now back to where it started.

Associate MLOps Engineer

@ Machine Learning 1

now
Sep 2024 — PresentLahore, Pakistan

Running the infrastructure side of things — Kubernetes clusters, CI/CD pipelines, monitoring, and security across a fintech platform doing identity verification.

  • Managing 50+ Kubernetes clusters with CPU/GPU nodes across dev, staging, and production
  • Maintaining 140+ microservices with zero-downtime rolling deployments
  • Automating infrastructure provisioning and security hardening with Ansible
KubernetesDockerAnsibleGitLab CI/CDPostgreSQLMongoDBPythonSystem Security

Python Developer

@ Machine Learning 1

Jun 2024 — Aug 2024Lahore, Pakistan

Built internal APIs and real-time dashboards, owned the deployment pipeline for a few microservices.

  • Developed FastAPI services for log analysis and operational metrics
  • Created real-time Streamlit dashboards for monitoring client requests
  • Wrote automated deployment scripts with rollback support
PythonFastAPIStreamlitElasticsearchGitLab CI

Intern — Software Engineering

@ Machine Learning 1

Mar 2024 — May 2024Lahore, Pakistan

Got hands-on with automation scripts, basic infra monitoring, and learned how production ML systems actually work.

  • Wrote Python automation scripts for data pipeline health checks
  • Built internal tooling for log aggregation and monitoring dashboards
PythonBashDockerLinux

pipeline.execute()

How I Ship

Every commit flows through a battle-tested pipeline — from code to production in minutes, not days.

Code

PythonFastAPIBash

Build

DockerBuildxRegistry

Test

PytestLintSAST

Deploy

K8sHelmAnsible

Monitor

APMAlertsDashboards
deploy.log — production

things I've built

Key Projects

Real-time Dashboard with Streamlit

Created a live status board showing client request stats, logs, user-based access, and advanced visualizations for operational monitoring.

Live Status MonitoringUser Access ControlAdvanced Analytics
StreamlitPythonReal-time DataVisualizations

Kubernetes Cluster Management

Over 50 clusters with CPU/GPU nodes and 140+ microservices maintained using centralized K8s config and GitOps practices.

50+ Clusters140+ MicroservicesZero Downtime
KubernetesGitOpsMicroservicesCluster Management

Zero-Downtime CI/CD Deployments

Automated deployment pipelines with rollback-safe updates and alert triggers ensuring seamless production releases.

Automated PipelinesSafe RollbacksAlert Integration
GitLab CIAutomationMonitoringRollback Systems

Security Collaboration

Helped implement CIS-compliant system hardening alongside the security team to ensure infrastructure meets compliance standards.

CIS ComplianceSecurity StandardsTeam Collaboration
CIS HardeningSecurity ComplianceSystem Hardening

ElasticSearch Runtime Queries

Built internal APIs to fetch and interpret logs and metrics from ES for operational services, enabling real-time insights.

Internal APIsReal-time InsightsLog Interpretation
ElasticsearchAPI DevelopmentLog AnalysisMetrics

let's connect

Get In Touch

I'm always interested in discussing new opportunities, innovative projects, or sharing insights about MLOps and DevOps.