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Alamin-Juma/README.md

Hi there πŸ‘‹ I'm Alamin Juma

Enterprise Software & Platform Engineer | Distributed Systems | Cloud Architecture | AWS β€’ Azure

I design, build, deploy, and operate production software systems.

My experience spans backend engineering, cloud infrastructure, DevOps, enterprise identity, distributed systems, AI-powered applications, and production reliability.

I enjoy solving engineering problems that sit at the intersection of software, infrastructure, and scale.


πŸš€ What I Build

  • ☁️ Cloud-Native Platforms on AWS & Azure
  • πŸ—οΈ Enterprise Platform Engineering
  • βš™οΈ DevOps & CI/CD Automation
  • πŸ” Enterprise Identity & Access Management
  • πŸ“¦ Distributed Systems & Event-Driven Architectures
  • πŸ€– AI Systems, LLMs & RAG Applications
  • πŸ“Š Observability & Production Reliability

πŸ’Ό Engineering Highlights

☁️ Enterprise Platform Engineering β€” Griffin Global Technologies

Own the platform end-to-end across application development, cloud infrastructure, CI/CD, enterprise identity, and production operations.

Highlights

  • Reduced deployment time by 75%
  • Built Azure DevOps & GitHub Actions pipelines
  • Engineered enterprise SSO & IAM
  • Introduced Infrastructure as Code with Terraform
  • Implemented Grafana monitoring & alerting
  • Solved complex production deployment failures
  • Improved platform reliability across AWS & Azure

πŸ’³ Distributed Payment Systems β€” Afyabook

Architected an offline-first payment platform for healthcare providers operating in unreliable network environments.

Production Outcomes

  • βœ… Zero duplicate payment transactions
  • βœ… Reduced failed payments from 60% β†’ 2%
  • βœ… Exactly-once payment processing
  • βœ… Event-driven AWS architecture
  • βœ… Offline synchronization & recovery

πŸ—οΈ Cloud-Native Enterprise Systems β€” Elewa

Built cloud-native enterprise software serving customers across Belgium, France, and Germany.

Engineering Highlights

  • Kubernetes (EKS) payment orchestration
  • Distributed payment integrations
  • Event-driven microservices
  • Infrastructure as Code
  • Multi-tenant architectures
  • High-availability cloud systems

πŸ€– AI & Machine Learning β€” Nakala Analytics

Built production ML systems for analytics, forecasting, and intelligent decision support.

Engineering Highlights

  • Machine Learning
  • NLP
  • Data Pipelines
  • Backend APIs
  • Production ML Deployment

πŸ‘¨β€πŸ« Engineering Mentorship

Helped engineers become production-ready software developers.

Impact

  • πŸ‘¨β€πŸ’» Mentored 200+ engineers
  • πŸ“ˆ 80% job placement rate
  • πŸš€ Led 50+ production engineering projects
  • ☁️ Cloud & DevOps Instructor
  • πŸ›οΈ Microsoft β€’ UN β€’ Teach2Give

πŸ“š Open Source


πŸ› οΈ Tech Stack

Domain Technologies
Languages TypeScript β€’ C# β€’ Python β€’ Java β€’ SQL
Backend .NET β€’ Node.js β€’ NestJS β€’ Spring Boot β€’ Express
Frontend React β€’ Angular β€’ Next.js
Cloud AWS β€’ Azure β€’ Kubernetes β€’ Docker
Infrastructure Terraform β€’ CloudFormation β€’ ECS β€’ Lambda
DevOps Azure DevOps β€’ GitHub Actions β€’ Grafana
Databases PostgreSQL β€’ DynamoDB β€’ MongoDB β€’ Redis
AI LLMs β€’ RAG β€’ AI Agents β€’ NLP β€’ Machine Learning

🌱 Currently Exploring

  • Multi-Agent AI Systems
  • Platform Engineering
  • Kubernetes at Scale
  • AWS Well-Architected Framework
  • Enterprise AI Agents

πŸ“ Latest Article

πŸ“– Array Methods Every JavaScript Engineer Should Master

πŸ‘‰ Read on DEV Community


πŸ“« Connect With Me


πŸ’Ό Companies


"Good software ships features.

Great engineering builds systems that continue working when everything starts going wrong."


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