Krishi Sharma
Krishi Sharma is a software developer at KUNGFU.AI where she builds software applications that power machine learning models and deliver data for a broad range of services. As a former data scientist and machine learning engineer, she is passionate about building tools that ease the infrastructure dependencies and reduce potential technical debt around handling data. She helped build and maintains an internal Python tool, Potluck, which allows machine learning engineers the ability to bootstrap a containerized, production ready application with data pipelining templates so that her team can focus on the data and metrics without squandering too much time finagling with deployment and software
Sessions
With the rise of data privacy concerns around AI in the EU, how can we innovate using AI capabilities despite regulations around consumer data? What tools and features are available to help us build AI in regulated industries? This talk will discuss how we can leverage diverse datasets to build better AI models without ever having to touch the datasets by using a Python library called Flower.