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ASHRAFALI-M/README.md

πŸ‘‹ Hi, I'm ASHRAFALI M

πŸš€ AI Developer | Agentic AI Engineer | Data Scientist

LinkedIn GitHub Email


🌟 About Me

I’m Ashrafali M, an AI Developer specializing in Agentic AI systems and intelligent automation.

Currently working on real-world enterprise AI solutions, I focus on building systems that don’t just respond β€” but plan, reason, and execute tasks autonomously.

πŸ’‘ My core strength lies in bridging:

  • AI models β†’ Business workflows
  • LLMs β†’ Decision-making systems
  • Chatbots β†’ Autonomous agents

πŸ’Ό Current Role

πŸ€– AI Developer β€” ASK Real Estate (Bahrain)

  • Building a full-scale Agentic AI platform for real estate operations

  • Designing multi-agent systems including:

    • 🧠 Orchestrator / Router Agent
    • 🎯 Intent & Goal Understanding Agent
    • πŸ“‹ Task Planner Agent
    • πŸ” RAG + Document Intelligence Agent
    • πŸ“Š Valuation & ROI Analytics Agent
    • ⚠️ Risk & Verification Agent
  • Implementing goal-driven workflows (Agentic AI Phase 2)

  • Integrating AI into ERP systems (CRM, Facility Management, Operations)

  • Working with real-time pipelines (ASR β†’ Agents β†’ TTS)


🧠 What I Actually Build

Instead of just models, I build:

βœ”οΈ Autonomous AI Systems (Agentic AI) βœ”οΈ RAG-based Knowledge Systems βœ”οΈ AI Decision Engines for Business βœ”οΈ Multi-Agent Architectures βœ”οΈ End-to-End AI Pipelines (Voice + Text + Tools)


πŸš€ Featured Projects

🧩 Agentic AI Platform (Enterprise System)

  • Designed a production-grade multi-agent architecture

  • Agents collaborate to:

    • Understand user intent
    • Plan tasks
    • Retrieve data
    • Generate reports
  • Uses LLaMA 3, Mistral, Qwen, Phi-3 (multi-model strategy)


πŸ“„ RAG-Based Document Intelligence Agent

  • Processes large-scale documents (PDFs, contracts, reports)

  • Features:

    • Smart summarization
    • Context-aware Q&A
    • Document advisory system
  • Built using LangChain, FAISS, embeddings, memory systems


🧬 Skin Cancer Detection Using CNN (Research @ NIT Trichy)

  • Trained on ISIC + HAM10000 datasets
  • Applied CNN + PCA + t-SNE
  • Focused on medical AI interpretability

πŸ› οΈ Tech Stack

🧠 AI / ML

  • LLMs, RAG, Agentic AI
  • Deep Learning, NLP
  • LightGBM, CNNs

βš™οΈ Agentic Stack

  • LangChain
  • Multi-Agent Systems
  • Tool Calling / Planning Agents
  • Memory + Orchestration

πŸ’» Programming

  • Python
  • Java
  • SQL

πŸ“Š Data & Visualization

  • Pandas, NumPy
  • Power BI, Tableau
  • Matplotlib

🧰 Tools

  • Jupyter, VS Code
  • Kaggle, Colab
  • Linux

🎯 Current Focus

  • 🧠 Scaling Agentic AI in enterprise systems
  • πŸ”„ Transitioning from chatbots β†’ autonomous workflows
  • πŸ—οΈ Building AI systems that take actions, not just generate text
  • πŸ“ˆ Designing ROI-driven AI solutions for businesses

πŸ§ͺ Learning & Exploration

  • Advanced Multi-Agent Architectures
  • Real-time AI (Voice + Streaming)
  • AI + ERP Integration
  • Decision Intelligence Systems

πŸ“Š GitHub Stats

GitHub Stats Top Languages


πŸ”— Connect with Me

LinkedIn GitHub Email Portfolio


⭐ Not just building AI models β€” building AI systems that think, plan, and act.

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