Worked in Tidal's Perception team on underwater robotics and machine perception by applying computer vision machine learning. In depth understanding in deep learning pipeline from data collection, training, evaluation, optimization and deployment.

Everyday Robots, born from X, the moonshot factory, and working alongside teams at Google, builds a new type of robot. One that can learn by itself, to help anyone with (almost) anything..

Experienced large scale ML/DL models for panoptic segmentation on both images and point clouds, classification, and vision + language with their full life cycle from data labelling, training, evaluation, deployment, optimization, to ML infra support.

Worked in Everyday Robots, born from GoogleX, graduated in Nov 2021.

I worked in ML models in 2D camera and 3d lidar object detection, segmentation and productionized them by deploying models over a fleet of 200 robots.