Description

Join Shashank Kapadia, Staff Machine Learning Engineer at Walmart Global Tech, for a 1.5-hour webinar on “Unpacking Parallelism: Practical Strategies for Scaling AI Workflows.” Learn how to optimize AI workflows, overcome scaling challenges, and implement parallelism techniques using distributed training, cloud infrastructure, and real-world case studies to enhance your AI systems’ performance.

Agenda:

1. Introduction to Parallelism in AI Workflows
2. Challenges in Scaling AI Workflows
3. Key Strategies for Implementing Parallelism in AI Systems
4. Distributed Training: Techniques and Tools
5. Scaling AI Workflows with Cloud Computing and GPUs
6. Real-World Case Studies and Applications

About the speaker:

Shashank Kapadia, Staff Machine Learning Engineer at Walmart Global Tech

Shashank Kapadia is a seasoned Machine Learning Engineer with over a decade of experience in MLOps, NLP, Recommendation Systems, and LLMs. He specializes in building scalable AI solutions, driving ML projects from ideation to deployment, and leading cross-functional teams. Passionate about ethical AI, he actively mentors and shares insights through writing. With expertise in TensorFlow, PyTorch, and cloud technologies like GCP and AWS, Shashank excels in transforming AI workflows for enhanced efficiency and user interaction.