Senior Software Consultant
CurrentTechnologies: Rust, Large Language Models (LLMs), Model Training, PyTorch, TensorFlow, Distributed Systems, Docker, Kubernetes- Developed and optimized a high-performance Generative AI application using **Rust** for its backend, focusing on efficient, low-latency processing of large-scale AI models.- Implemented and fine-tuned **Large Language Models (LLMs)** for various generative tasks, including text generation, summarization, and question-answering.- Led model training pipelines using frameworks such as **PyTorch** and **TensorFlow**, enabling efficient training and fine-tuning of LLMs on large datasets.- Architected a scalable and distributed system to handle high-volume requests, utilizing **Docker** for containerization and **Kubernetes** for orchestration and scaling across cloud environments.- Worked on optimizing inference times and memory usage to ensure smooth deployment and real-time interaction with trained models in production.- Collaborated with data scientists and machine learning engineers to implement advanced algorithms and ensure robust performance across different generative AI tasks.- Integrated feedback loops and continuous learning mechanisms to enhance model accuracy and performance over time.