available for senior engineering roles

Muhammad Zarq Khan

const role = "Senior Full-Stack Software Engineer"|

9+ years shipping scalable, secure, production-grade web platforms across SaaS, fintech, AI/ML and cloud-native systems. I design multi-tenant architectures, build resilient backends, and deploy them on AWS & Kubernetes.

9+
years shipping
50+
systems in prod
99.9%
api uptime
10k+
api users grown
01. about()

A senior engineer who ships.

I build fullstack systems end-to-end — from database schemas and REST/GraphQL APIs to React/Vue dashboards and cloud infrastructure. My sweet spot is high-traffic SaaS where correctness, performance and operability all matter.

Over the last decade I've led distributed teams, integrated AI/ML into production workflows, migrated monoliths into event-driven microservices, and owned everything from CI/CD pipelines to on-call rotations.

I'm biased toward boring, reliable technology wrapped around interesting business logic.

~/whoami
name: Muhammad Zarq Khan
role: Senior Full-Stack Engineer
experience: 9+ years
education: BS CS, LUMS
focus: SaaS · Fintech · AI/ML
remote · worldwide
02. skills.map()

The toolbox.

Languages & Frameworks

TypeScriptPHPPythonGo.NET CoreLaravelDjangoNode.jsExpressGinReactVue.jsAngularJS

APIs & Architecture

REST APIsGraphQLMicroservicesEvent-DrivenMulti-Tenant SaaSRBAC

Cloud & DevOps

AWS (EC2, ECS, EKS, Lambda, RDS, S3)Azure (Pipelines, Functions, Service Bus)DockerKubernetesTerraformPulumiCI/CD

Data & Storage

PostgreSQLMySQLSQL ServerMongoDBSQLiteQuery OptimizationSchema Design

AI / ML

OpenAI APIsML WorkflowsAI AutomationPrediction Pipelines

Reliability & Testing

CloudWatchObservabilityVitestZodMSTestNUnitXUnitAgile/Scrum
03. experience.log()

Career timeline.

Senior Full-Stack Software Engineer

@ Nexologics
Oct 2020 — Present
  • Designed and delivered scalable full-stack applications with Laravel, Python, Node.js and modern frontends (React, Vue, Angular).
  • Built REST APIs, AI-powered workflows and backend services powering auth, automation and multi-tenant SaaS.
  • Integrated OpenAI APIs and ML workflows into production systems to automate business processes.
  • Led cloud-native deployments on AWS (EC2, ECS, EKS, Lambda, RDS, S3), containerized with Docker & Kubernetes.
  • Automated CI/CD and IaC with Terraform, Pulumi and Azure DevOps for consistent, high-frequency releases.
  • Optimized PostgreSQL/MySQL under high traffic and hardened observability with CloudWatch.
LaravelPythonNode.jsReactAWSKubernetes

Team Lead / Full-Stack Engineer

@ Join Smartly
Nov 2018 — Oct 2020
  • Led a distributed engineering team shipping multi-tenant SaaS platforms across Vue, React, Angular, Laravel and Node.
  • Developed API-driven microservices supporting financial workflows and enterprise SaaS products.
  • Built AI-assisted features using Python services integrated via REST APIs.
  • Introduced event-driven architectures and containerized deployments with Docker & Kubernetes.
  • Managed AWS infra (ECS, EC2, RDS, S3) with CI/CD automation to improve reliability.
Vue.jsLaravelNode.jsPostgreSQLAWS

Software Engineer

@ Cloud Pacer
Dec 2015 — Nov 2018
  • Built full-stack web apps for SMB clients across retail and logistics — frontend, backend, cloud and data layers.
  • Developed React/Angular dashboards for analytics and reporting with TypeScript and REST APIs.
  • Implemented backend services with Laravel, Node.js, Python and .NET Core with clean service boundaries.
  • Designed and tuned relational schemas in MySQL/PostgreSQL for better query efficiency and integrity.
  • Troubleshot live production issues, fixed bottlenecks and improved reliability across distributed services.
ReactAngularJSLaravel.NET CoreMySQL
05. wins.filter(impact)

Key achievements.

40% faster queries

Tuned MySQL & Postgres on Laravel apps, cutting response times and speeding up Vue dashboards.

10,000+ API users

Grew the API user base to 10k in six months through targeted performance work.

99.9% API uptime

Maintained near-perfect uptime across multiple production services with proactive monitoring.

95%+ ML accuracy

Integrated machine-learning models delivering prediction accuracy above 95% in production.

Polyglot data wins

Optimized storage across polyglot databases, reducing query time by 40%.

let's build something

Have a hard problem?
Let's talk.

Open to senior full-stack, backend and platform roles. Reply within 24 hours.