LLM Security

Sankalp is a machine learning engineer focused on innovative time series forecasting and predictive analytics solutions. With over six years of experience in data science and machine learning, He has a strong background in uncertainty quantification, explainable AI, and time series forecasting.

Sankalp's Ph.D. in Astronomy involved analyzing complex astrostatistics datasets. He has since applied machine learning techniques to diverse problems including galaxy formation, stellar characterization, cryptocurrency trading, and stock return modeling.

Raahul Dutta is an MLOps Lead at Elsevier. he has around 8+ years of experience in transforming the Jupyter Notebooks into low-latency, highly scalable - production standard endpoints, and he implemented various ML/AI models and pipelines (30+) and exposed them. He was associated with Oracle, UHG, and Philips. He is a proud author of 13 patents in the ML, BMI, and chatbot domains. He enjoys riding motorbikes and lives in Amsterdam with his partner.

Uri is a diverse technology enthusiast, hacker in my soul, tech lead, and system architect. He's an experienced software engineer specializing in polyglot programming, building and architecting a wide variety of systems and infrastructures in multi-cloud environments, massively distributed, secured, and high-performance systems. His previous roles included both technology leadership and leading software engineers. In Uri's last role, he was the co-founder and chief architect of @Spectral, which was acquired by Check Point. Beyond Uri's technical endeavors, he's a dedicated community contributor and has founded multiple developers' communities.

Ben was the machine learning lead for Splice Machine, leading the development of their MLOps platform and Feature Store. He is now a founding software engineer at Galileo (rungalileo.io) focused on building data discovery and data quality tooling for machine learning teams. Ben also works as an adjunct professor at Washington University in St. Louis teaching concepts in cloud computing and big data analytics.