Shanky Sharma

With over a decade of experience in data science and machine learning, I specialize in building intelligent, efficient systems that bridge the gap between software and hardware.

Currently serving as a Machine Learning lead at Lattice Semiconductor, where I focus on developing and optimising AI models for edge deployment. My work involves neural network quantisation, model compression, and performance tuning to meet the constraints of embedded systems - enabling powerful machine learning capabilities on resource-limited hardware.

Throughout my career, I’ve worked across diverse domains, consistently applying a deep technical skill set to solve real-world problems. I’m passionate about pushing the boundaries of edge AI through rigorous engineering, cross-functional collaboration, and a relentless drive for practical innovation.