Open to senior roles • Berlin / Remote (EU)

Muhammad
Shahrukh Khan
Senior Full Stack Engineer.

I architect scalable microservices and high-performance SaaS platforms — and I ship faster than most teams expect by weaving AI-augmented engineering workflows into every layer of delivery.

9+ years across founding-engineer scale-ups and enterprise platforms. Currently shipping production systems at CoachHub in Berlin.

Berlin, Germany
9+ years building production systems
Microservices • Cloud • AI-augmented delivery
Let's build something View experience
9+
Years engineering production-scale systems
60→90%
Test coverage scaled via AI-assisted workflows
−25%
Production bug density reduction
10→150+
Engineering org scaled as founding engineer
About

I bridge complex backend architecture with rapid product delivery.

I've spent the last decade going from founding engineer at early-stage startups to senior IC at hyper-growth enterprises. My specialty is the messy middle — designing the multi-tenant cloud architectures that hold up as organizations 10x, standardizing the engineering hygiene that keeps technical debt in check, and integrating modern AI tooling so teams ship more without burning out. I care about resilient systems, clean abstractions, and outcomes that compound.

Technical stack

The tools I use to ship.

A deep, modern toolkit across the full stack — frontend, backend, cloud, and AI-augmented engineering.

Frontend

React Next.js Angular Vue.js Redux Tailwind HTML5 / CSS3

Backend

Node.js NestJS Express GraphQL REST APIs Microservices

Cloud & DevOps

AWS Docker Kafka GitHub Actions CI/CD Linux

Databases & Testing

PostgreSQL MongoDB Prisma Redis Jest RTL Jasmine

Languages

TypeScript JavaScript (ES6+) SQL Postgres MySQL

AI Engineering

Claude Code Gemini Prompt Engineering AI Test Scaffolding AI-augmented CI
Experience

Where I've built, shipped, and scaled.

From founding engineer to senior IC — a track record of building systems that hold up under hyper-growth.

2022 — Present

CoachHub

Full Stack Engineer · Berlin, Germany
  • Engineered and scaled resilient distributed microservices using Node.js, NestJS, Kafka, and PostgreSQL for enterprise SaaS products.
  • Leveraged Gemini to aggressively scale automated test coverage from 60% to 90% across mission-critical codebases.
  • Integrated Gemini and Claude Code into daily workflows — lowering production bugs by 25% and accelerating sprint velocity to close 80% of open issues within one week.
  • Built and optimized CI/CD infrastructure via robust GitHub Actions workflows blending automated checks with human-in-the-loop review guardrails.
Node.js NestJS Kafka PostgreSQL AI Workflows
2019 — 2021

Optimyse

Tribe Lead · Architect · Senior Engineer
  • Served as founding engineer (first 10 employees), establishing core application architectures that sustained organizational growth to 150+ engineers.
  • Directed cross-functional execution across complex SaaS initiatives — managing distributed engineering teams of 5–10 engineers.
  • Architected multi-tenant infrastructures and cloud configurations powering modern e-commerce and SaaS applications.
  • Championed development hygiene by standardizing code reviews, sprint workflows, and engineering metrics across the department.
  • Shipped high-performance frontend configurations and modular backend libraries — significantly boosting rendering speed and reducing API latency.
Architecture Multi-tenant SaaS Team Leadership Founding Engineer
2017 — 2018

Cloudnosys

Software Engineer
  • Developed clean RESTful APIs and modern frontend systems using advanced client-side JavaScript frameworks.
  • Built secure third-party integrations and internal features ensuring end-to-end reliability for enterprise-level cloud platforms.
REST APIs JavaScript Cloud Security
AI-Accelerated Engineering

What makes my delivery different.

I treat AI tooling as a first-class part of the engineering workflow — not a novelty. Here's where it compounds.

01 / Production Speedups

Token-aware prompt engineering

Mastered cost-efficient, deterministic workflows with Gemini and Claude Code — collapsing debugging overhead and shipping features in days, not sprints.

02 / Test Scale

AI-driven test scaffolding

Built generative test infrastructure that compresses validation lifecycles and gets critical paths to 90%+ coverage without ballooning maintenance cost.

03 / CI/CD Synthesis

AI-augmented review pipelines

Authored custom CI workflows that blend automated AI checks with human-in-the-loop guardrails — keeping velocity high without sacrificing architectural integrity.

Let's talk

Building something ambitious?

I'm currently open to senior full-stack and engineering leadership roles in Berlin or remote across the EU. If you're scaling a SaaS platform, shipping a greenfield product, or rebuilding your delivery engine around AI workflows — let's have a conversation.

mskshahrukh@gmail.com +49 176 20821054 LinkedIn
Send me an email