AI builds it · I make it production-ready

TalhaImtiaz.

Talha Imtiaz

I take AI-built and early-stage apps from “works on my machine” to running reliably in production — deployments, scaling, CI/CD, and observability.

~80 → 400+ concurrent users on gke6 min → 2 min next.js build time−75% datadog alert noise
BIO_0x1F //

I read your codebase, not just your infra

I’m Talha a DevOps engineer who came up as a software engineer first. I work across Kubernetes, GKE, KEDA autoscaling, Dockerized services, GitLab and GitHub CI/CD, observability, incident response, and hardened Linux deployments.

I take 1–2 engagements at a time alongside my full-time role — async-first, ~4h daily US/EU overlap. Based in Pakistan, working with US and EU teams.

From fragile to production-grade

Architecture diagram of a multiplayer game on GKE: players reach Next.js frontend pods scaled by KEDA against a custom player-threshold metric API, with the API service and the Hocuspocus collaboration server split into separate single-container pods; kube-prometheus-stack scrapes all three for the metrics that drive scaling.
Kubernetes Scaling
Concurrent users on GKE
~80 → 400+

Raised Multiplayer Game Capacity from ~80 to 400+ Users on GKE

Raised capacity from ~80 to 400+ concurrent users with KEDA-based autoscaling on GKE, backend service isolation, load-test driven pod sizing, and a CI/CD cleanup that cut Next.js build time from 6 min to 2 min.

Labs — not client work

Reference architectures — built in public, linked to source

Personal builds, not client work. No users and no production traffic — included so you can read the code rather than take my word for the approach.

Reference architecturePlatform Engineering

Built a Production-Style GitOps Platform on AWS EKS with Zero Static Credentials

Designed and deployed a production-style AWS EKS platform using Terraform and GitOps. Eliminated static cloud credentials using IRSA and automated secret delivery with External Secrets Operator, enabling fully declarative infrastructure and application delivery.

  • AWS EKS
  • Terraform
  • ArgoCD
  • External Secrets Operator
  • AWS Secrets Manager
  • Kubernetes

Know What Breaks Before Your Customers Do.

You spent months building your product, talking to customers, fixing bugs, and earning every bit of trust. Don't lose it because your infrastructure wasn't ready for growth.

I'll tear down your production architecture and deliver a prioritized engineering report showing what is most likely to fail, why it matters, and what to fix—before your customers discover it for you. Report in your inbox within one week of access.

TICKET SPECIFICATION
INVESTMENT
$2,500$3,500
Full refund, no questions asked.

Founder rate for the first three teardowns — $2,500 instead of $3,500 — in exchange for a public case study and a named testimonial.

DELIVERYOne week
READOUT SESSION60 Min Recorded Call

What People I've Worked With Say

I'd confidently recommend Talha to any team looking for a reliable, autonomous DevOps or Platform Engineer.

Saad Abdullah

Saad Abdullah

Cloud, DevOps, & Solutions Architecture · Toptal

Direct Manager

I would trust Talha with an ambiguous production issue and expect him to return not just with a fix, but with a clear understanding of the root cause.

Abdullah Tarar

Abdullah Tarar

Cloud Infrastructure & DevOps Engineer

Senior Teammate

Fragile infrastructure, turned into code

// The Target

Fragile infrastructure converted into automated code.

Production Deployments

High-velocity pipelines, Docker builds, instant preview environments, and zero-downtime rollbacks.

Kubernetes Scaling

Production GKE clusters, KEDA/HPA event-driven autoscaling, pod isolation, and resource cost-tuning.

Cloud Infrastructure

GCP, hardened Linux servers, self-hosted PaaS (Coolify/Dokploy), and Cloudflare edge architecture.

Three ways I get your app to production

Get your AI-built app into production

Prototypes that work in a demo break under real users. I containerize the app, build the CI/CD pipeline, wire up secrets, health checks, and rollback-safe deploys — so you can ship to real customers without babysitting it.

Scale without burning cloud budget

I right-size your infrastructure with autoscaling, Kubernetes resource tuning, and infrastructure-as-code — so the system handles real traffic growth without paying for idle capacity.

Harden production before clients or audits

I tighten IAM, secrets handling, container and CI/CD security, and Linux server hardening — closing the obvious holes before they turn into incidents.

The teams and systems behind these numbers

>_ SYSTEM_LOG
  • Raised capacity from ~80 to 400+ concurrent users with KEDA-based autoscaling on GKE.
  • Cut Next.js build time from 6 min to 2 min by pruning the Docker build context and caching Turborepo outputs.
  • Reduced Datadog alert noise by 75% through clearer alert grouping and Slack-native heatmaps.
  • Supported production incident response and Linux server hardening.
  • Implemented RobinRelay alert triage workflows with FastAPI, Datadog, Slack, Azure OpenAI, and n8n automation.
  • Automated mobile releases with GitLab CI and Expo EAS, including real-device Appium runs on BrowserStack.
  • Managed Coolify, Dokploy, on-prem servers, and self-hosted GitLab Appium runners.
live_deployment

Published IEEE research, and where I trained

Formal education and published undergraduate research.

Tell me what's breaking

If your deploys are scary, your CI/CD is held together by hope, or your AI-built app needs to survive real users — that's what I fix. Founders and small engineering teams: book a 30-min call and I'll tell you straight whether I can help.

© 2026 TALHA IMTIAZ