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🧠Setting ups the Breakpoints while debugging life.🧠
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🧠Setting ups the Breakpoints while debugging life.🧠
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al-amin/README.md

Al Amin

AI Engineer | Agentic AI Platform Architect | GenAI Platform Builder

I build production agentic AI systems that connect to where enterprise data actually lives. Currently architecting AI tools at a Fortune 500 company in Munich.

What I Build

Enterprise MCP Server Collection (Agentic AI Platform) — 9-system integration with 209+ AI tools

  • Confluence RAG with pgvector semantic search (60-80% token reduction)
  • AI-powered knowledge search (42x faster, 44% relevance improvement)
  • Suite tool aggregation (90% context overhead reduction: 15-20k → 2k tokens)
  • Full-stack AI assistant: React, Next.js 15, TypeScript, real-time streaming

GenAI Platform Features — Core contributor shipping production AI

  • Context-aware AI chat suggestions (Azure OpenAI, Python + Angular, 3,000+ lines)
  • Agent onboarding UX system (14 files, 61 commits)
  • Enterprise document extraction for RAG pipelines

Production RAG Systems — From hackathon prototype to enterprise deployment

  • 3rd prize, GenAI Hackathon (50+ teams) — production-ready RAG with Azure OpenAI
  • Delta-sync indexing, smart chunking, trust scoring

Key Metrics

What Impact
AI tools built 209+ across 9 enterprise systems
Search speed improvement 42x faster (7-10s → 0.2-0.5s)
Context overhead reduction 90% (15-20k → 2k tokens)
Token reduction (RAG) 60-80% via semantic chunking
Search relevance improvement 44% with trust scoring
CI/CD governance scale 15+ teams, 100+ developers

Tech Stack

AI & GenAI: Python, MCP SDK, LangChain, RAG, Agentic AI, Agentic Workflows, pgvector, Azure OpenAI, AWS Bedrock, Embeddings, Vector Databases

Frontend: React, Next.js 15, TypeScript, Angular, Tailwind CSS

Backend: Python, Node.js, Express, PostgreSQL, REST APIs

Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, Terraform, GitHub Actions

DevOps & Security: CI/CD, Jenkins, SonarQube, OWASP, Monitoring

Featured Projects

MCP MS Teams Webhook Integration

AI-to-Teams messaging via MCP — Adaptive Cards, rate limiting, priority notifications. Open source.

AI World

AI experiments and learning projects.

Certifications

  • AWS Certified Cloud Practitioner
  • Certified SAFe 5 Practitioner
  • ISTQB Certified Tester

Writing

I write weekly about building enterprise AI systems on LinkedIn. Recent topics:

  • MCP architecture for enterprise AI (209+ tools, 9 systems)
  • What agentic AI development looks like in enterprise
  • Production RAG: what breaks at scale

Follow on LinkedIn →

Connect

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  1. al-amin.github.io al-amin.github.io Public

    HTML

  2. awesome-llm-apps-ai-Artificial-Intelligence awesome-llm-apps-ai-Artificial-Intelligence Public

    Repository: AI Projects/Learning - A collection of outstanding large language model (LLM) applications utilizing Retrieval-Augmented Generation (RAG) with OpenAI, Anthropic, Google Gemini and open-…

    Python 1

  3. ai-world ai-world Public

    ai-world

    Python