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jubelAhmed/README.md

Hi, I'm Jubel Ahmed 👋

AI-Native Backend Engineer · Cloud-Native Infrastructure

Typing SVG

🧠 About Me

I build backend systems that think — combining cloud-native infrastructure with AI agent workflows to create reliable, scalable, and intelligent applications.

  • 🤖 Designing and deploying AI agents with tool use, memory, and planning capabilities
  • 🔌 Building MCP (Model Context Protocol) servers for LLM tool integration
  • ⏱️ Using Temporal for durable, fault-tolerant workflow orchestration in production
  • ☁️ Architecting cloud-native systems on AWS & GCP with event-driven patterns
  • 🔐 Security-minded — clean architecture, secure APIs, maintainable code
  • 🤝 Passionate about mentoring and sharing practical engineering knowledge

🤖 AI & Agent Engineering

Area Tools & Technologies
LLM Integration OpenAI · Anthropic · Ollama
Agent Frameworks Custom Agents · Tool Use · Memory · Planning
MCP Development MCP Server Design · LLM Tool Integration
Workflow Orchestration Temporal (Durable Execution · Saga Patterns)
RAG & Search Vector Search · Embedding Pipelines
Automation n8n · Webhook Pipelines · API Integrations

☁️ Cloud & Infrastructure

AWS

Lambda AppSync API Gateway Cognito RDS DynamoDB S3 SQS SNS ECS EventBridge CloudFront ElastiCache CloudWatch Kinesis AWS Bedrock

GCP

Cloud Run Pub/Sub Firestore GKE

DevOps & IaC

Docker Terraform AWS CDK CI/CD Grafana OpenTelemetry

🔧 Languages & Frameworks

JavaScript TypeScript Node.js Express.js GraphQL Yoga Server TypeGraphQL FastAPI Django React.js Python

🗄️ Databases

PostgreSQL DynamoDB MongoDB Redis Elasticsearch pgvector

⚡ What I'm Building

🔁 Temporal workflows that power multi-step AI agent pipelines
🔌 MCP servers that expose backend capabilities to LLMs as callable tools
🤖 Autonomous agents with persistent memory and external tool integration
🌐 Event-driven microservices with real-time LLM streaming support
🔒 Secure, observable AI systems with tracing and audit logging

📐 Engineering Philosophy

"AI agents are only as reliable as the infrastructure beneath them."

I design systems where intelligence and reliability coexist — using Temporal for durability, event-driven architecture for scalability, and MCP for interoperability between LLMs and backend services.

📫 Let's Connect

Building the infrastructure layer for the AI-native era.

Pinned Loading

  1. file-vault-dedupe file-vault-dedupe Public

    A full-stack file management system with intelligent deduplication, content search, and storage quota management. Built with Django REST Framework and React.

    Python

  2. growth_hub_mlm growth_hub_mlm Public

    JavaScript

  3. orderflow-api orderflow-api Public

    Python

  4. facial-contour-masking facial-contour-masking Public

    Python

  5. ml_ddos_prediction_system ml_ddos_prediction_system Public

    Python

  6. ifo-backend ifo-backend Public

    Forked from IFO-AI/backend

    Python