About

Aman Agarwal is a highly skilled Software Engineer with 3.20 years of relevant experience. Currently working at Tesla as a Software Engineer, Aman has previously worked with the same organization as a Software Engineer Intern. During his tenure, he designed and developed an API-based architecture using Flask Restplus to replace existing procedures and replaced the existing logic by more efficient data validation techniques. He also conducted thorough process-specific exploratory analysis with extensive cross-team collaboration, catching several anomalies that considerably improved process cycle time. Aman set up scheduled reports with alerts on RStudio Connect to help keep better track of machine-specific performance metrics and built alerts on top of the reports to enable catching performance anomalies much earlier. Aman also has experience working as a Data Science Intern at Capgemini, where he worked in a small team of three to create a framework to detect the number of people inside a car in real-time videos. He designed and implemented a computationally efficient centroid object tracker, rather than using existing open-source object tracking algorithms, which helped improve the output frame rate by over 100%. He combined his object tracker with the implementation of the YOLO object detection algorithm. Aman administered the team's morning scrums to discuss the weekly deliverables and presented the team's weekly progress every Friday. Aman holds a Bachelor of Science in Computer Science from the University of Washington, where he graduated in 2020. He also completed his high school education from Amity International School, Noida, in 2016. Aman's technical skills include Software Engineering, Golang, ETL, testing, Flask, Data Science, Object Detection, and more. With his experience and expertise, Aman is a valuable asset to any organization he works with.