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MuhammadEhsan02/README.md

Muhammad Ehsan

AI Research Engineer | Agentic AI | Multi-Agent Systems | Physical AI

LinkedIn · Kaggle · ResearchGate · Medium

I am an AI researcher and engineer focused on developing intelligent systems for real-world applications. My current work centers on Agentic AI, Multi-Agent Systems, Physical AI, Edge AI, and AI Security, with a particular interest in autonomous systems and UAVs.

My research interests span deep learning, generative AI, intelligent agents, autonomous systems, and cybersecurity. I am particularly interested in how AI systems can reason, collaborate, adapt to changing environments, and operate effectively in real-world settings.

Current Research

My current focus includes:

  • Agentic AI and AI Agents
  • Multi-Agent Systems
  • Physical AI and Embodied Intelligence
  • UAVs and Autonomous Systems
  • Edge AI
  • AI Security
  • Deep Learning and Generative AI

I am currently exploring Agentic AI and Multi-Agent Systems for UAV swarms and disaster management, while expanding my research toward Physical AI and embodied intelligent systems.

Research

My research work covers:

  • Multi-Agent and Federated Learning
  • UAV Intrusion Detection and Security
  • Generative AI for Cybersecurity
  • Edge Intelligence
  • Agentic AI for Autonomous Systems
  • Embodied and Physical AI

My research has been published in IEEE venues including IEEE Transactions on Consumer Electronics, IEEE Network, and IEEE Internet of Things Magazine.

Technical Skills

Programming

Python · C++ · R · JavaScript · TypeScript

AI & Machine Learning

PyTorch · TensorFlow · Deep Learning · Transformers · Natural Language Processing · Computer Vision · Generative AI · Large Language Models

LLM & Agentic AI

AI Agents · Multi-Agent Systems · LangChain · LangGraph · Retrieval-Augmented Generation · Tool Calling · Prompt Engineering

AI Systems & Research

Agentic AI · Physical AI · Edge AI · Federated Learning · AI Security · UAV Systems

Cloud & Development

AWS · Microsoft Azure · Git · GitHub · Linux · Docker

Projects

This profile contains research implementations, technical experiments, and practical projects across machine learning, deep learning, generative AI, agentic systems, and intelligent autonomous systems.

I use GitHub to document research implementations, experiments, and projects focused on emerging AI technologies and real-world applications.

Popular repositories Loading

  1. developershub-ai-projects developershub-ai-projects Public

    A collection of AI and Machine Learning projects completed for the DevelopersHub Corporation internship. Features six complete implementations covering data analysis, predictive modeling, and LLM c…

    Python 5

  2. AI-Powered-Plant-Disease-Detection-and-Fertilizer-Recommendation-System AI-Powered-Plant-Disease-Detection-and-Fertilizer-Recommendation-System Public

    An AI-powered system for plant disease detection using CNNs and fertilizer recommendations via a Flask GUI. Includes real-time predictions, supplementary files, demo video, and dataset links for se…

    Jupyter Notebook 4 1

  3. Financial-Services-Consumer-Analytics Financial-Services-Consumer-Analytics Public

    IT Bootcamp Final Exam Project: Delve into the world of data science with this exam. Explore consumer dispute data, apply machine learning models, and analyze sentiment to solve real-world financia…

    Jupyter Notebook 2

  4. Power_BI_School-data-analysis Power_BI_School-data-analysis Public

    Australian School Data

    1

  5. DS-ML_MID DS-ML_MID Public

    Explore gender classification using machine learning and deep learning techniques, achieving over 95% accuracy. Predict cement strength through advanced regression methods and neural networks for p…

    Jupyter Notebook 1

  6. Hands-On-Large-Language-Models Hands-On-Large-Language-Models Public

    Forked from HandsOnLLM/Hands-On-Large-Language-Models

    Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

    Jupyter Notebook 1