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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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ArditZubaku/README.md

Ardit Zubaku

Backend & Cloud-Native Engineer
Javascript • Typescript • Node.js • Golang • Rust • Distributed Systems • Event-Driven Architectures

About Me

I design and build scalable backend systems focused on performance, reliability, and observability.

My work centers around distributed microservices, event-driven architectures, and cloud-native infrastructure operating under real production load. I value clean system boundaries, measurable optimization, and infrastructure that scales predictably.

Languages

Backend & Architecture

Data & Streaming

Cloud & DevOps

Professional Experience

Event-Driven Cloud Systems

Architected and operated serverless ingestion pipelines using AWS Lambda, SQS, DynamoDB, and Kafka.
Delivered large-scale data processing and alerting systems with strong emphasis on reliability, performance, and Terraform-managed infrastructure.

High-Concurrency Go Services

Designed distributed Go microservices deployed on Kubernetes (AKS), integrating Redis and RabbitMQ.
Focused on autoscaling, observability (Prometheus, Grafana, OTEL), and performance benchmarking under production load.

Scalable GraphQL Platforms

Developed production-grade GraphQL APIs with optimized batching (DataLoader), efficient database access patterns, and strong testing strategies.

Public Projects

Distributed File Storage (Go)

Peer-to-peer decentralized storage with automatic replication and encryption.
Focus: distributed consistency, fault tolerance, and network communication.

HAProxy Ingress – WebSocket Graceful Shutdown

Benchmarking Kubernetes ingress behavior under live WebSocket traffic.

Zero Allocation Logger (Go)

sync.Pool-based memory optimization validated with profiling.

Reservation Microservices System

NestJS microservices using gRPC, RabbitMQ, and SQL/NoSQL storage.

Engineering Philosophy

  • Measure before optimizing
  • Observability is part of system design
  • Prefer explicit concurrency
  • Infrastructure as Code is mandatory
  • Simplicity scales better than cleverness

Focus Areas

  • Low-latency systems
  • High-throughput pipelines
  • Scalable microservices
  • Production reliability
  • Continuous iteration

Contact

Email: zubakuardit@gmail.com

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  1. my-realtime-chat my-realtime-chat Public

    A real-time chat application leveraging Node.js + NestJS (Socket.io and Redis) on the server side, with a React (Socket.io client) front end. It supports multiple chat rooms, private messaging, typ…

    TypeScript

  2. video-chat-app-webrtc video-chat-app-webrtc Public

    A lightweight peer-to-peer video/chat app using WebRTC for media and Socket.IO for signaling.

    JavaScript

  3. ws-haproxy-ingress-graceful-shutdown ws-haproxy-ingress-graceful-shutdown Public

    A Go WebSocket server with Node.js clients for testing graceful shutdown in batches behavior of HAProxy Ingress in Kubernetes

    Go

  4. httpfromtcp httpfromtcp Public

    A from-scratch implementation of the HTTP/1.1 protocol on top of TCP, manually parsing HTTP requests, implementing routing, and writing responses without relying on Go’s net/http abstractions.

    Go

  5. kvx kvx Public

    A Redis-like key-value store written from scratch in Go. Under the hood, the server runs a single-threaded event loop built on Linux's epoll.

    Go

  6. tex tex Public

    Terminal Editor and ... X ? - my implementation of Vim using Golang with a constant-memory file loading. Uses less memory than bare vi while offering many more features like syntax highlighting wit…

    Go