ÂÜÀòÂÒÂ×

Kaahan Radia has a diverse work experience in the fields of perception engineering, research, data science, security, computer vision, and machine learning.

In 2018, Kaahan worked as a Machine Learning Researcher at Ericsson, where they designed and implemented a distributed information system to efficiently train reinforcement learning agents in parallel. Kaahan also collaborated with a team to present the results and scalability of the project.

In 2019, Kaahan interned as a Computer Vision Intern at Ericsson, conducting research on low-shot image classification and implementing various deep learning papers. Kaahan developed a data pipeline and worked with Prototypical Networks in PyTorch to improve performance.

In 2020, Kaahan joined Marqeta, Inc as a Data Science and Security Intern. Kaahan used trend analysis to analyze the impact of COVID-19 on the company's customer relationships and researched growth patterns of high-performing customers for onboarding new ones. Kaahan also created cloud-based solutions and applied data science and ML techniques for intelligent understanding and reporting of alerts.

From 2017 to 2020, Kaahan worked as an Undergraduate Research Assistant at RISELab, where they researched perception and planning algorithms for a self-driving car pipeline. Kaahan developed a real-time segmentation algorithm for planning using depth estimation, intermediary representation, and Lidar object detection. Kaahan also collaborated with UCSF to improve solutions for EKG readings.

In 2021, Kaahan joined Zipline as a Perception Engineer, but no further information is provided about their specific role and responsibilities.

From 2017 to 2020, Kaahan Radia pursued a Bachelor of Arts degree in Computer Science at the University of California, Berkeley.