Open to opportunities

Muhammad Asad

@muhammadasad12

Senior Full Stack Engineer specializing in scalable cloud-native systems, AI/LLM integrations, and high-performance web platforms.

United States

Message

What I'm looking for

I seek senior engineering roles building cloud-native, AI-enabled platforms where I can architect scalable systems, improve reliability, and mentor teams in a collaborative, product-focused environment.

I am a Senior Full Stack Engineer with eight years building and scaling enterprise applications across healthcare, e-commerce, real estate, and SaaS. I combine strong backend expertise in Node.js (Nest.js, Express, Fastify), Python (Django, Flask, FastAPI), and Ruby with modern frontend development using React, Next.js and TypeScript to deliver secure, maintainable, and high-performing software.

I architect microservices, REST/GraphQL APIs, and AI/LLM-powered systems (RAG pipelines, NLP workflows) and deploy cloud-native solutions on AWS and GCP using Docker, Kubernetes, Terraform and CI/CD. My work has improved performance, reduced regressions, delivered 99.9% uptime in production, and accelerated delivery cycles through TDD/BDD and automation.

Experience

Work history, roles, and key accomplishments

Current

Senior Full Stack Engineer

Current

Gigster

Nov 2022 - Present (3 years 1 month)

Architected and delivered scalable SaaS platforms and AI/LLM integrations, improving uptime to 99.9% and reducing regressions by 40% through TDD/BDD and CI/CD automation.

NestJS Python fastAPI Kubernetes Terraform Kafka Redis CI CD

Senior Software Engineer

Stealth Start-up

Oct 2019 - Oct 2022 (3 years)

Led development of high-traffic applications and AI/ML integrations, improved system performance and reliability, and built GraphQL/REST APIs and CI/CD pipelines to accelerate deployments.

Fastify Python fastAPI Django GraphQL REST APIs CI CD Performance Optimization Docker

Full Stack Developer

Emphasoft

Mar 2017 - Sep 2019 (2 years 6 months)

Contributed to full-stack feature development using React and Node.js, maintained REST APIs in Python, and supported AWS Lambda and containerized environments to improve performance and developer workflows.