Unveiling Data Odyssey
Overview
Vino Duraisamy, a Developer Advocate at Snowflake, shares her journey from working with on-premise data centers to becoming a leader in cloud-based data engineering and machine learning. Vino discusses her experiences transitioning from traditional data environments at companies like Nike and Apple to the cutting-edge world of cloud platforms, emphasizing the critical role of data engineering in modern organizations. She delves into her work on custom NLP models, the challenges of deploying machine learning at scale, and the evolving intersection of data engineering and machine learning. Vino also offers valuable advice for aspiring data professionals, highlighting the importance of foundational knowledge, continuous learning, and staying curious about emerging technologies. The conversation is rich with insights on navigating a dynamic career in data, the future of AI, and the potential of generative AI to revolutionize industries.
About Vino:
Vino is a Developer Advocate, focussing on Data engineering and LLM workloads at Snowflake. She started as a software engineer at NetApp, and worked on data management applications for NetApp data centers when on-prem data centers were still a cool thing. She then hopped onto the cloud and big data wagon and landed at the data teams of Nike and Apple. There she worked mainly on batch processing workloads as a data engineer, built custom NLP models as an ML engineer and even touched upon MLOps a bit for model deployments. When she is not working with data, you can find her doing yoga or strolling the golden gate park and ocean beach.
Social Handles:
https://www.linkedin.com/in/vinodhini-sd
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