AtlasGalaxy

I am a doctoral candidate in Artificial Intelligence, driven by a passion for creating intelligent, data-centric solutions, specializing in Machine Learning, Deep Learning, and Natural Language Processing to build scalable, production-ready AI systems spanning from classical methods to cutting-edge models like LLMs, VLMs, and multimodal architectures. I possess expertise in models such as BLIP2-Flan-T5-XL, BioBERT, LLaMA, GPT-4 Omni, CNN, RNN, LSTMs, and traditional ML models, and I am proficient with frameworks including PyTorch, TensorFlow, scikit-learn, HuggingFace, and LangChain, ensuring the delivery of clean, preprocessed, documented, and reproducible AI solutions aligned with specific objectives.