Software engineer focused on computer vision, LLM's and MLops.My work centers on building and deploying advanced deep learning models, especially for computer vision and natural language tasks. I also have significant experience fine-tuning large pre-trained language models for a variety of natural language processing applications. I have successfully built a low latency, high capability LLM inference architecture on AWS SageMaker, and implemented distributed multi-node, multi-GPU training of LLMs.My expertise involves adapting these state-of-the-art models to enhance their performance on specific use cases and implement them in practical systems to solve real world problems. I spearheaded the development of advanced super agents tailored for financial applications, designing custom tools and functions to enhance their decision-making capabilities and automate complex financial tasks.My technical skills include Python, SQL, AWS, Vertex AI, GCP, Azure, HuggingFace, Generative AI, MLOps, LLMOps, Prompt engineering, LangChain, LlamaIndex, RAG, OpenAI-Gemini, Databricks, Docker, Kubernetes, CUDA https://github.com/OmerOzgur271
Listed skills include Python, Science, Yapay Zeka, Machine Learning, and 11 others.