# Ethan B. Mehta > SDE II @ Amazon | Stanford MS MS&E | UC Berkeley M.E.T Location: San Francisco Bay Area, United States Profile: https://flows.cv/ethanbmehta ## Work Experience ### Software Development Engineer II @ Amazon Jan 2023 – Present ◆ Amazon Rufus, generative AI-powered shopping assistant ### Software Development Engineer @ Amazon Jan 2022 – Jan 2023 | Palo Alto, California, United States ◆ Search Relevance ### Undergraduate Researcher @ Berkeley RISE Lab Jan 2021 – Jan 2022 | Berkeley, California, United States ### Software Development Engineer Intern @ Amazon Jan 2021 – Jan 2021 | Berkeley, California, United States ◆ Search Science and AI ### CS 61B TA @ UC Berkeley Electrical Engineering & Computer Sciences (EECS) Jan 2020 – Jan 2021 | Berkeley, CA ◆ Received the 2021 Outstanding Graduate Student Instructor Award "in recognition of exceptional achievements as a teacher." One of the top 9% of GSI/TAs in the EECS Department. ◆ CS 61B: Data Structures. Instructed on topics including Java, Software Development, Data Structures, and Algorithms. Course Website: https://sp21.datastructur.es/index.html ◆ 8 Hours/Week teaching a weekly discussion section, leading a lab section, holding office hours, grading exams, and QA'ing course content for 3 semesters (Spring 2020, Fall 2021, Spring 2021). ### EE 198 DeCal Facilitator @ IEEE Student Branch at UC Berkeley Jan 2019 – Jan 2021 | Berkeley, CA ◆ EE 198: Micromouse Robotics DeCal. Instructed on topics including controls, maze-solving algorithms, and sensing. Developed course content and led 30+ students to complete building an autonomous maze-solving robot. ◆ Served as Co-Director of Micromouse DeCal Committee for UC Berkeley's IEEE Student Branch for 2 semesters (Spring 2020, Fall 2020). Co-Led a team of 4-7 officers/course staff. ### Software Engineer Intern @ ImmunoMind Jan 2020 – Jan 2020 | Berkeley, California, United States ◆ ImmunoMind: SkyDeck Startup building an "AI-powered platform for ultra-fast discovery of biomarkers that increase the success rate of drug development programs using single-cell immunogenomics technologies." ◆ Created a Python library for downstream analysis of single-cell RNA sequencing (sc-RNA) data. ◆ Implemented preprocessing, dimensionality reduction, embedded visualization, clustering, and unsupervised learning methods to identify biomarkers. ◆ Conducted an in-depth analysis of bottlenecks and optimized code to address these bottlenecks. ◆ Numpy, Cupy, SciPy, Conda, AWS, Docker ### Undergraduate Researcher @ Neuroscience and Optical Imaging Lab Jan 2018 – Jan 2020 | Berkeley, California ◆ Na Ji Lab: Neuroscience and Optical Imaging Lab at UC Berkeley. ◆ Implemented MATLAB scripts for processing videos of rodents. ◆ Implemented a procedure to deconstruct rodent facial motion energy using PCA. ◆ Used computer vision algorithms to measure rodent pupil area. Experimented with various image masking and convex hull methods. ## Education ### Master of Science - MS in Management Science and Engineering Stanford University Jan 2023 – Jan 2026 ### Bachelor's degree in B.S. Electrical Engineering and Computer Sciences, B.S. Business Administration UC Berkeley Management, Entrepreneurship, & Technology (M.E.T.) program Jan 2018 – Jan 2022 ### Bachelor's of Science in Electrical Engineering Computer Science UC Berkeley College of Engineering Jan 2018 – Jan 2022 ### Bachelor's of Science in Business Administration University of California, Berkeley, Haas School of Business Jan 2018 – Jan 2022 ### High School Diploma Washington High School Jan 2014 – Jan 2018 ## Contact & Social - LinkedIn: https://linkedin.com/in/ethanbmehta --- Source: https://flows.cv/ethanbmehta JSON Resume: https://flows.cv/ethanbmehta/resume.json Last updated: 2026-03-23