I design secure delivery systems for AI, healthcare, and SaaS products — from CI/CD and containerized releases to runtime operations, cloud infrastructure, and platform hardening.
PRODUCT CONTEXT
Operational work across AI, healthcare, and SaaS platforms with real production constraints.
RELEASE DISCIPLINE
Dockerized delivery, GitLab CI/CD pipelines, multi-environment rollouts, and runtime readiness.
INFRASTRUCTURE MINDSET
Linux, Nginx, Traefik, Redis, Celery, storage, SSL, backups, and platform support under pressure.
SECURITY LENS
Compliance-minded delivery, access control, health checks, hardened runtime choices, and safer operations.
Waqar Ul Wahab
DevOps & Platform Engineer
BUILD SPEED
2-5 MIN
Docker packaging and versioned release artifacts
VALIDATION
3-10 MIN
Lint, smoke checks, runtime-aware gates
RELEASE WINDOW
2-5 MIN
GitLab CI/CD, SSH deploy, Nginx routing
OBSERVE MODE
24/7
Logs, health checks, backups, rollback readiness
frontend-web
Next.js UI responding with clean edge delivery
HEALTHY
api-gateway
Nginx reverse proxy aligned with release routing
HEALTHY
celery-worker
Async workloads draining and background jobs stable
HEALTHY
redis-cache
Broker connected for cache and queue coordination
HEALTHY
This portfolio should read like a direct pitch for DevOps hiring managers and clients: release confidence, runtime clarity, platform ownership, and secure delivery under pressure.
I treat delivery as a product surface — branch flow, build gates, shell-driven preflight checks, artifact creation, release safety, and rollback thinking.
I handle the runtime reality behind launches: Linux servers, reverse proxies, async workers, media storage, environment setup, and day-two support.
I favor operational safety by default — JWT/OAuth, security headers, TLS, health endpoints, controlled storage access, and backup routines.
My current production work is CI/CD-heavy, and I position systems toward GitOps maturity with Kubernetes, ArgoCD, and policy-driven environment promotion as scale increases.
This section is built to answer the hiring-manager question fast: what did you actually ship, run, support, and improve in production?
FLAGSHIP AMALAXIS HEALTHCARE PLATFORM
Full-Stack & Platform Delivery
A multi-tenant AI-powered healthcare SaaS product where I worked across backend systems, tenant onboarding, platform admin workflows, async processing, secure storage, DevOps, and production readiness for US-grade operational expectations.
01
Supported Dockerized platform workflows, Redis + Celery background jobs, and runtime support around secure healthcare operations.
02
Handled production-readiness concerns such as private object storage, signed access, operational safeguards, and deployment support.
03
Worked in a compliance-minded environment where reliability, auditability, and access control are first-order concerns.
AI SAAS DELIVERY SYSTEM
Lead Developer (Full-Stack + DevOps + Cloud)
Built an AI-first SDLC platform with secure APIs, streaming workflows, async processing, health endpoints, and production deployment.
MARKETPLACE PLATFORM
Sole Developer (Full-Stack + DevOps)
A multi-vendor marketplace with full infrastructure ownership, media handling, and a 3-environment deployment model.
DIRECT CLIENT TRAVEL PLATFORM
Sole Developer (Full-Stack + DevOps)
Built and operated a premium travel platform with Docker, Traefik, Nginx, SSL, Google integrations, and CI/CD-backed hosting.
DEVOPS & INFRASTRUCTURE ENGAGEMENT
DevOps, Cloud & Infrastructure Engineer
A strong example of operator-level delivery under constraints: limited-memory VPS, split deployment, HTTPS, CI/CD, backups, and server monitoring.
SHORT-TERM DEVOPS DELIVERY
Frontend Developer & DevOps Engineer
Delivered CI/CD and deployment support for an existing AI voice assistant application while collaborating with an in-house team.
PREDICTIVE ANALYTICS PLATFORM
Backend Developer & DevOps Engineer
Contributed to backend delivery, server infrastructure, and CI/CD-backed environments for a predictive analytics platform with data ingestion and operational care needs.
Delivery speed matters only when it stays safe. This is the operating flow I frame around source control, packaging, validation, release, and observation.
Every release starts with versioned source control, clearer change scope, and a review path that reduces surprise in production.
I favor reproducible builds so environments behave consistently from local workstations to hosted runtime targets.
Validation should protect delivery speed, not slow it down. Basic correctness, smoke tests, and health-aware deployment gates matter.
Operational safety includes secure headers, controlled secrets, authentication boundaries, and fewer risky defaults.
Today my production work is CI/CD-driven. As scale grows, I shape release workflows toward Kubernetes and ArgoCD-style GitOps promotion models.
The job is not done at deploy. Runtime awareness, uptime discipline, and fast rollback paths are part of the engineering promise.
The point is not just to deploy. The point is to keep systems observable, recoverable, and healthy when the real workload starts hitting production.
BUILD SPEED
2-5 MIN
Docker packaging and versioned release artifacts
VALIDATION
3-10 MIN
Lint, smoke checks, runtime-aware gates
RELEASE WINDOW
2-5 MIN
GitLab CI/CD, SSH deploy, Nginx routing
OBSERVE MODE
24/7
Logs, health checks, backups, rollback readiness
frontend-web
Next.js UI responding with clean edge delivery
3000/tcp
api-gateway
Nginx reverse proxy aligned with release routing
80/443
celery-worker
Async workloads draining and background jobs stable
queue
redis-cache
Broker connected for cache and queue coordination
6379/tcp
postgres-main
Persistent data layer ready for runtime operations
5432/tcp
docker-runtime
Container lanes mapped for repeatable deployment
containers
gitlab-runner
Release jobs online and ready to execute
pipeline
argocd-track
Scaling direction for cluster-based promotion
gitops
I am using the logo rail only where it supports the story: familiar product tooling, backend frameworks, cloud surfaces, and the DevOps posture behind them.
AWS
AZURE
DEVOPS
NEXT.JS
REACT
TYPESCRIPT
PYTHON
FASTAPI
DJANGO
POSTGRESQL
NODE.JS
TAILWIND CSS
CURRENT
CURRENT
CURRENT
CURRENT
EXPANDING
This is a representative operations console meant to show how I think: containers, health checks, runtime stats, and the path toward Kubernetes and GitOps maturity.
~/scripts/release-preflight.sh
Shell checks for image pull, environment parity, and release gates before shipping.
~/scripts/rollback-green.sh
Shell-first recovery flow for fast reversions when a release signal goes red.
~/scripts/observe-runtime.sh
Simple shell instrumentation for logs, host health, queue depth, and delivery confidence.
This is the framing I want clients and hiring teams to see immediately: faster shipping, safer releases, stronger platform support, and a practical GitOps growth path.
01
I think in terms of delivery confidence: clean packaging, rollout safety, environment parity, and faster recovery when something moves unexpectedly.
02
My current shipping experience is CI/CD-heavy, but I deliberately frame systems for stronger GitOps maturity when teams need environment promotion and cluster-based control.
03
The strongest DevOps work creates safer products. I bring security posture into delivery through tighter defaults, less risky operations, and better runtime hygiene.
04
I do not separate product delivery from operations. My role is to help teams ship faster without leaving production quality behind.
Product teams and clients need to know where the DevOps thinking was applied in real work. This timeline is optimized to show platform support, release engineering, and runtime ownership.
01
Junior Software & DevOps Engineer
Mar 2025 — Present
Working across flagship AI and healthcare products with responsibility spanning backend delivery, platform support, CI/CD, runtime operations, and production readiness.
02
Python, Full-Stack & DevOps Delivery
Feb 2023 — Present
Client-facing work where infrastructure reliability directly affects trust, launch speed, and post-deployment support.
03
Director & Technical Operator
2021 — Present
Running technical work with a builder-operator mindset: scope clearly, ship responsibly, and keep systems maintainable after launch.
Formal training across software engineering, DevOps automation, data analytics, cybersecurity, and project management — all from industry-recognized programs.
Need someone who can build CI/CD pipelines, stabilize runtime operations, package Docker-based releases, and make infrastructure feel safe for product teams and clients?
Open profile / portfolio signal for direct evaluation.
GitHub
Open profile / portfolio signal for direct evaluation.
Main Portfolio
Open profile / portfolio signal for direct evaluation.
OPEN CV / START THE CONVERSATION
For DevOps roles, platform support, CI/CD ownership, secure delivery, or client infrastructure execution.
