Ashish Jha is a machine learning leader and founder with 11 years of experience building production AI systems across fintech, robotics, and mixed reality. As Co-Founder & CEO of Nativ he helps businesses unlock new markets through localization, while scouting for bold founders at a16z Speedrun and advising SUIND on deploying deep-learning models to edge devices like Jetson Nano. Previously he led ML at Revolut, shipping large transformer and computer vision models to power KYC at scale, and authored books on PyTorch and fraud detection that bridge research and production. He combines hands-on model development (from segmentation and object detection to multimodal transformers) with cloud-native deployment experience on Kubernetes and GCP. Trained at EPFL and IIT Roorkee and with an MBA from Quantic, he blends strong academic foundations with product-minded execution. A detail that often goes unnoticed: he routinely converts research models into C++/edge-friendly formats and mentors teams to compound incremental model improvements into tangible business impact.
11 years of coding experience
10 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at Quantic School of Business and Technology
Contributions:45 pushes, 1 branch in 2 years 3 months
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