Rayan Ramoul

Ai Research Engineer Ii - Bioai @InstaDeep

Paris, FR

Drove the deployment and scaling of large-scale machine learning solutions for mRNA sequence analysis within a cutting-edge research environment, focusing on maximizing efficiency and robustness- Led the full MLOps lifecycle for large model training pipelines, implementing high-velocity CI/CD and ensuring reproducibility from pre-training through advanced fine-tuning (LoRA, QLoRA, SFT)- Optimized and productionized model serving by implementing advanced techniques, including quantization, model offloading, and designing scalable APIs for low-latency inference- Developed and maintained mission-critical distributed training infrastructure utilizing advanced parallelism techniques (Data Parallelism, Model Parallelism) across heterogeneous backends (JAX/TPU and Torch/FSDP)- Managed secure and scalable models deployment across major cloud platforms (GCP, Azure, and AWS), ensuring seamless integration with existing software infrastructure- Established best-in-class software engineering practices across multiple research repositories, focusing on high code quality, security, and maintainability.