oddin - LLM Researcher

• Solid experience with LLMs in production environments, including training, fine-tuning, inference, and tool integration. • Experience building RAG-based systems and working with vector or graph databases. • Experience deploying, monitoring and integrating these systems into the overall solution. • Strong understanding of function calling, structured output generation, and agentic reasoning workflows. • Proficiency in Python and key libraries (e.g., PyTorch, Hugging Face Transformers, FastAPI). • Experience with sports broadcasting or data-driven content generation (e.g., live commentary, analytics). • Familiarity with multimodal LLMs and integrating textual and visual inputs. • Familiarity with tools like vLLM, Triton, or DeepSpeed for efficient model serving. • Contributions to open-source AI tools or research publications in NLP, multimodal AI, or agent systems.