I'm an AI & Data Science Engineer passionate about integrating Artificial Intelligence, IoT, and Cloud Computing to create smart, scalable, and sustainable systems.
My current work focuses on applying Machine Learning, LLMs, and Edge AI to build intelligent infrastructures and data-driven solutions.
- 🔭 Working on: AI-driven IoT systems, LangChain-based chatbots, and Cloud-integrated ML applications.
- 🌱 Learning: Generative AI, LLM fine-tuning, RAG systems, and Federated Learning.
- 💬 Ask me about: Machine Learning, NLP, Hugging Face, LangChain, MLOps, Cloud AI, and Smart Energy Analytics.
- 📫 Contact: amirhassanadeli.ai@gmail.com
- 🔗 LinkedIn: linkedin.com/in/amirhassanadeli
Artificial Intelligence:
Machine Learning, Deep Learning, NLP, Generative AI, LLMs (GPT, BERT), RAG Systems
Frameworks & Libraries:
TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, LangChain
MLOps & Cloud:
FastAPI, MLflow, Docker, Google Cloud AI, AWS Sagemaker, Azure ML
IoT & Edge AI:
Data acquisition, TinyML, Edge Deployment, Smart Energy Systems
Data Science & Analytics:
Python, Pandas, NumPy, Power BI, Big Data, SQL
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🧠 AI Chatbot with LangChain & Hugging Face:
Built a domain-specific chatbot using a custom RAG pipeline and transformer-based models for contextual Q&A. -
⚡ IoT Energy Optimization System:
Designed a predictive AI model leveraging IoT sensor data to optimize power usage in smart energy grids. -
☁️ Cloud-based ML Deployment:
Developed and deployed scalable ML pipelines using FastAPI, Docker, and Google Cloud AI services.
Creating intelligent and efficient AI-driven ecosystems by combining:
- LLMs + LangChain for contextual automation
- IoT + Edge AI for real-time analytics
- Cloud AI for scalable model deployment and monitoring