AI, Data Science & Engineering Technologies
Artificial Intelligence & Machine Learning
- DLDeep Learning Frameworks
PyTorch, TensorFlow, TensorFlow Lite for building and deploying neural networks. Primary frameworks for research and production ML systems.
- LLMLarge Language Models
LLaMA (3, 3.1), GPT-4 integration. Specialized in fine-tuning, LoRA techniques, and RAG (Retrieval-Augmented Generation) systems.
- CVComputer Vision & Model Architectures
YOLOv5, CNN, GRU-CNN Hybrid, ResNet, EfficientNet. ONNX for model optimization and cross-platform deployment.
- NLPNLP & ML Libraries
Hugging Face Transformers, Scikit-Learn, XGBoost. Comprehensive toolkit for natural language processing and classical machine learning.