~/hassam — bash

$ whoami

Hassam.

> |

7+ years building real-time platforms, distributed systems, and AI-powered products. Tech Lead experienced in shipping production systems at scale — from hospital allocation engines serving 5,000 patients/day to LLM inference pipelines. Open to Senior/Lead roles in Germany, Ireland, and the EU.

Open to EU · DE · IE roles🇩🇪 KMK-recognized degree

GitHub LinkedIn Twitter Resume

$ cat about.md

About Me

I'm Hassam — a Senior Full Stack Engineer and Tech Lead with 7+ years shipping production systems across healthcare, e-commerce, and enterprise SaaS. Currently leading engineering at ProductBox, where I manage a 20-person team across web, mobile, and infrastructure.

My work spans real-time platforms (WebSockets, Redis pub/sub), distributed backend systems (Node.js, FastAPI), and cloud infrastructure (AWS, Pulumi IaC). I've built systems serving 5,000+ patients/day, LLM inference pipelines, and mobile apps with React Native.

I hold a BS in Computer Science, formally recognized as a German Bachelor's equivalent by the KMK (Kultusministerkonferenz) — the official German credential authority — which streamlines employment in Germany and the EU.

✓KMK Zeugnisbewertung — Reg. LN2025/112835-1

✓Degree recognized as German Bachelor equivalent

→Open to Senior/Lead roles in DE · IE · EU

Years Experience

10+

Production Systems

Engineers Led

Hospitals Served

$ ls ./skills/

Frontend & Mobile

ReactNext.jsTypeScriptReact NativeGraphQLTailwind CSS

Backend & APIs

Node.jsFastAPIPythonWebSocketsWebRTCREST/GraphQL

Data & Infra

PostgreSQLRedisMongoDBDockerAWS ECS/LambdaPulumi

AI & Systems

LLM InferenceRedis StreamsMicroservicesCI/CDIaCObservability

$ ls -la ./projects/

Projects

GitHub

Real-Time LLM Inference Pipeline

↑ 70% accuracy improvement

Designed and shipped a real-time LLM inference backend using FastAPI + Redis Streams + WebSockets for an automated fence-detection system. Replaced a manual verification workflow and reduced processing latency significantly.

FastAPIRedisWebSocketsPythonLLMAWS

Hospital Nurse Allocation System

↑ 35% better resource utilization

Built a real-time resource allocation platform for 15 hospitals serving 5,000+ daily patients. Event-driven architecture with WebSocket push, Redis pub/sub, and a rule-based scheduling engine — zero manual dispatch errors in production.

Node.jsWebSocketsRedisPostgreSQLReactTypeScript

AI-Powered Elderly Care Platform

↑ 30% caregiver efficiency increase

End-to-end platform serving 45 care facilities and 1,000+ daily residents. Real-time caregiver alerts, incident logging, and AI-driven care scheduling via WebSockets + Redis. Used by nursing staff in live clinical environments.

Next.jsNode.jsWebSocketsRedisPostgreSQLAWS

↑ 500+ orders/month, +10% revenue

E-Commerce Platform (Stripe + Next.js)

Full-stack multi-tenant e-commerce platform handling 500+ monthly orders. Features real-time inventory, Stripe payment flows, automated order tracking, and push notifications. Boosted client revenue by 10% post-launch.

Next.jsNode.jsStripe+3

↑ 80% faster delivery cycles

Telemedicine Mobile App

Secure React Native telemedicine app with WebRTC video consultations, appointment management, and real-time scheduling. Integrated automated GitLab CI/CD pipelines, reducing delivery cycle time by 80%.

React NativeNode.jsWebRTC+3

↑ Deployment complexity cut by 40%

Cloud Infrastructure Standardization

Standardized AWS infrastructure for a 20-engineer team using Pulumi IaC. Consolidated multi-service deployments across ECS, Lambda, API Gateway, and CloudFront. Built observability dashboards and automated CI/CD across all services.

AWSPulumiDocker+3

$ cat ./blog/*.md | head

Writing

All posts

Real-Time at Scale: Building a Hospital Nurse Allocation System for 5,000 Patients/Day

When a client needed to coordinate nurse assignments across 15 hospitals in real time, polling wasn't going to cut it. Here's the architecture we landed on — WebSockets, Redis pub/sub, and a rule-based scheduling engine that runs without a hitch in a live clinical environment.

Feb 18, 2026

9 min read

Node.jsWebSockets

LLM Inference Pipelines in Production: FastAPI, Redis Streams, and WebSocket Streaming

Shipping an LLM-powered feature to production is different from running a notebook. Here's how we built a real-time inference pipeline for an automated detection system — handling job queuing, streaming responses, and failure recovery at the backend level.

Jan 22, 2026

8 min read

PythonFastAPI

Pulumi in Production: Lessons from Standardizing AWS Infrastructure for a 20-Engineer Team

When we decided to consolidate three years of ad-hoc AWS configurations into proper IaC, we chose Pulumi over Terraform. A year and a half later, here's an honest look at what worked, what didn't, and what I'd do differently.

$ curl -X POST /contact

Get In Touch

I'm actively looking for Senior Engineer or Tech Lead roles in Germany, Ireland, or the EU. If you're hiring or know of an opportunity that fits, I'd love to hear from you.

Also open to freelance / contract work and technical advisory roles. I respond within 24 hours.

me@hassams.dev

github.com/hassams

linkedin.com/in/hassams

@hassams

Actively looking — available now

🇩🇪 Germany · 🇮🇪 Ireland · 🇪🇺 EU

Senior / Staff / Tech Lead · Full-time · On-site or hybrid

KMK-recognized degree — no credential recognition delay