👋 I'm Amirali Sahraei, a Machine Learning Engineer with a passion for pushing the boundaries of AI, especially in Deep Learning, LLMs, and Computer Vision. Currently pursuing opportunities to contribute to innovative AI projects and advance toward a Ph.D. in Deep Learning. My work focuses on building scalable, real-world AI solutions—from fine-tuning transformers to deploying models in production.
Machine Learning & Deep Learning
• PyTorch (Primary) | TensorFlow | Keras | Scikit-Learn | OpenCV
Natural Language Processing
• LLM Fine-Tuning (LoRA, GPT-2) | LangChain | RAG Systems | Hugging Face
Computer Vision
• Object Detection (YOLOv8) | Image Stitching/Registration | Lung CT Classification
MLOps & Cloud
• AWS | Flask/FastAPI | Model Deployment | ETL Pipelines
- Top 38% in Kaggle Competition (2025)
- Ranked 1626/4381 using ensemble models (XGBoost, LightGBM) for rainfall prediction.
- Certifications: Finetuning LLMs, LangChain, CNN (DeepLearning.AI)
- Research: Published work on transformer optimization and AI-driven ETL systems.
LLM Fine-Tuning with LoRA for GPT-2 and Model Evaluation
Agents-Based RAG System with LLM + Tavily
Gmail ETL Categorization)
Flask GPT app
📧 Gmail: [email protected]