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@alhassan069
alhassan069
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Alimul Hassan alhassan069

AI Engineer | RAG (LangChain, LangGraph), AI Agents, Fine-Tuning & n8n Automations | Backend & Cloud on AWS

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alhassan069/README.md

👾  About Me

   👨‍💻  AI Engineer with expertise in LLM, RAG, and software engineering
   💓  Passionate about building intelligent systems and solving complex problems.
   🌱   Always open for collaborations on AI/ML projects with innovative ideas.
   🏠  Living in Bangalore, India .

                


💻  Languages

JavaScript TypeScript Python Java C HTML5 CSS3 

📚  Frameworks and Libraries

React Next.js NodeJS FastAPI LangChain PyTorch Pandas NumPy Scikit-learn 

🛠️  Tools and platforms

AWS Docker Git GitHub PostgreSQL MySQL VSCode LINUX 

🚀  Featured Projects

🤖 Support Quality Intelligence Engine

FastAPI, LangGraph, PostgreSQL, Next.js |GitHub

  • Built an AI engine analyzing1K+ support emails/day for accuracy, tone, and SLA compliance
  • Developed NLP pipelines for classification with fine-tuned DistilBERT models
  • ImplementedRAG pipeline (ChromaDB + Llama 3) achieving99% response accuracy
  • Designed async ingestion with Gmail/Drive webhooks, scaling to 50+ concurrent events

🏥 Doctor Acquisition CRM

Node.js, React, AI-SDK, MySQL |GitHub

  • Developed AI-augmented CRM with intelligent lead scoring for 200+ daily leads
  • ImplementedDecision Support System for sales action recommendations
  • Boosted lead conversion rates by25% via AI-driven decision-making
  • Designed scalable pipelines improving sales team efficiency by40%
⚙️  GitHub Statistics



PinnedLoading

  1. CRMCRMPublic

    A modern Customer Relationship Management (CRM) system designed specifically for medical application sales teams to streamline the process of acquiring doctors as users.

    JavaScript

  2. rasheed8123/support-quality-intelligencerasheed8123/support-quality-intelligencePublic

    A production-grade RAG-powered system for automated support quality verification and real-time alerts. This system provides comprehensive support response quality analysis.

    Python 1


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