About

Amer Sinha is a highly experienced Senior Software Engineer in the field of Machine Learning, currently working at Google Research. He holds a Master's degree in Computer Science from the University of California, San Diego, and is passionate about using his skills to develop cutting-edge machine learning models. Amer is currently seeking a full-time position as a Machine Learning Engineer, where he can continue to apply his knowledge in this field. In his current position at Google, Amer is involved in research related to visual misinformation detection. He is also working on developing video classification models for kids' videos on YouTube, and is exploring ways to ensure the fairness and robustness of these models. Prior to joining Google, Amer worked as a Machine Learning Engineer at Uber Advanced Technologies Group, where he was responsible for object detection and tracking in image sequences. He also worked on building smarter annotation tools for object detection and panoptic segmentation using current state-of-the-art segmentation algorithms. At Rocket Fuel, Amer developed retargeting models and prototype Spark pipelines for data parsing, model training, data analysis, and evaluation. He explored new feature ideas and better domain-specific evaluation metrics, and also worked on approximating intersection models for separate events for click-through event modeling. Amer's education history includes a Master's degree in Computer Science from the University of California, San Diego, and a Bachelor's degree in Computer Science from the same institution. He also completed a study abroad program in Computer Science at Imperial College London. Amer has a wealth of experience in the field of machine learning, and is proficient in a variety of relevant technologies, including ML, software engineering, research science, video classification, object detection, and Spark. Overall, Amer Sinha is a highly skilled and experienced Senior Software Engineer in the field of Machine Learning, with a strong academic background and a proven track record of success in his field. He is passionate about using his skills to develop cutting-edge machine learning models, and is seeking a full-time position where he can continue to do so.