# Jarvis Y. > Charging @ Rivian | MSc Systems Engineering @ UC Berkeley | EECS and Data Science Minors Location: San Francisco Bay Area, United States Profile: https://flows.cv/jarvis Charging @ Rivian Contributing to interoperability in RAN DCFC embedded software, charging data science and vehicle charging communication systems. Previously, I pursued a MSc in Systems Engineering @ UC Berkeley, focusing on engineering optimization, data science, spatial analytics, and statistical ML applications in eMobility systems, under the advisement of Prof. Scott Moura, Prof. Timothy Lipman, Dr. Xiao-Yun Lu, and Prof. Alexandre Bayen. My research explored EKF for sensor fusion in vehicle localization for connected truck platooning, and EV bi-directional charging strategies design & modeling using dynamic programming. hobbies: event/landscape/car photography, automobile enthusiast, soccer, skateboarding, cycling, traveling abc=always be charging! ## Work Experience ### Charging Interoperability Engineer II @ Rivian Jan 2024 – Present ### Race Event Photographer @ FinisherPix Jan 2024 – Present ### eMobility Systems & Test Engineer @ Schneider Electric Jan 2024 – Jan 2024 ### Graduate Student Researcher @ California Path Jan 2022 – Jan 2024 | Berkeley, California, United States Conducted applied research sponsored by DOE/VTO in real-time lane-level vehicle localization forvehicle platooning vehicular network using a hybrid sensor fusion scheme based on EKF, map-matching, and vision-based lane detection using commercial sensor setup, a subtask for the connected driving aplication project. ### Undergraduate Research Assistant @ Institute of Transportation Studies Berkeley Jan 2019 – Jan 2024 | Berkeley - Undergraduate research apprentice participating in the EECS MEng team for the BISTRO capstone project, an open-source Collaborative Planning Support System designed to conduct optimization on congestion pricing experiments in urban city scenarios. - Conducted network mode choice and travel time calibration and optimization on the agent-based, link-level BEAM simulations based on Sioux Falls, SD and San Francisco, CA study scenarios. - Created geo-spatial visualizations to interpret the simulation outputs from cordon/per-mile road pricing policies aimed to reduce traffic congestion and cost burden. - Managed AWS database parsing pipelines for visual dashboard. ### Computational Engineering Graduate Intern @ Lawrence Livermore National Laboratory Jan 2023 – Jan 2023 | Livermore, California, United States ### eMobility Intern, BMW ChargeForward @ BMW Group Jan 2022 – Jan 2022 | Mountain View, California, United States ### Connector Teaching Assistant @ UC Berkeley Division of Computing, Data Science, and Society Jan 2022 – Jan 2022 | Berkeley, California, United States - Connector Course teaching assistant for CE 88: Data Science for Smart Cities, advised by Prof. Marta Gonzalez - Teaching duties includes holding regular office hours, assignment grading, and course content development ### UC Berkeley, Civil & Environmental Engineering (CEE) @ UC Berkeley, Civil & Environmental Engineering Jan 2018 – Jan 2022 | Berkeley, California, United States - UC Berkeley undergraduate student, currently pursuing a bachelor degree in Civil & Environmental Engineering in the College of Engineering, with dual minors in EECS and Data Science while on track for obtaining the Berkeley Certificate in Design Innovation (bcdi). ### Undergraduate Research Assistant (URAP) @ UC Berkeley, Civil & Environmental Engineering Jan 2020 – Jan 2021 | Berkeley, California, United States - Performed transit network accessibility analysis in Bogotá, Columbia on the effect of a new aerial cable-car infrastructure project in December of 2018 based entirely on open-sourced data and data science packages. - Created GTFS feeds for the cable-car in both fixed and flexible transit scenario for the analysis. - Implemented transit routing packages, OTP and R5, and estimated a localized employment accessibility improvement from 2%-63% and also discovered network effect within the outer city limits. - - Current working to expand the analysis on the SF Central Subway Extension. ### Staff Photographer @ Innovative Design Jan 2021 – Jan 2021 | Berkeley, California, United States ### Vice President @ Toppa @ Berkeley Jan 2021 – Jan 2021 | Berkeley, California, United States ### Director in Content and Media Production @ Toppa @ Berkeley Jan 2020 – Jan 2021 | Berkeley, California - Toppa is a professional development club dedicated to the East Asian community here at Berkeley. Toppa is founded with the mindset of breaking the bamboo celling in the Tech, Engineering, and Business industries. - Working to bring the Toppa community to the Internet, showcasing our workshops and moments from club activities, check out our YouTube channel below! ### Engineer Analyst Intern @ Kittelson & Associates, Inc. Jan 2021 – Jan 2021 | Oakland, California, United States - Conducted technical research for SR-710 connected vehicle and ATMS technology assessment project for FDOT District 4, closely studied more than 10 cities as example cases for its CAV technologies and ATMS system specifications - Performed SWITRS collision data analysis for speed limit evaluation of more than 80k records in Piedmont and Port of Oakland, CA - Constructing trip generation, internal, and queuing rates database for Costco warehouse sites in multiple states and locations - Building web-scrapping Python script and analyzed more than 2,500 entries of PeMs data for I-5 San Clemente segments for BAU model validation and 2040 traffic volme forcast. - Land use modeling data processing for Glendale, CA ### Video Production Team, Member @ Berkeley China Summit Jan 2019 – Jan 2021 Working on the camera stand, guests interview recording, and post-editing for the Berkeley China Summit. ### MEng Boot Camp Proctor @ UC Berkeley Coleman Fung Institute for Engineering Leadership Jan 2021 – Jan 2021 | Berkeley, California, United States MEng Spring Boot Camp Classroom Proctor for ENGIN 270H: Accounting & Finance for Engineers assisting Prof. Babak Jafarizadeh. ### NUS Summer Engineering Research Internship (Cancelled Due to COVID-19) @ National University of Singapore Jan 2020 – Jan 2020 | Singapore - Selected as internship student out of 2 positions under the advising of Dr. Yunyue Elita Li. - Extracting geological information from urban traffic noise using machine learning. - Learn relationship between ambient traffic noise and underground geology, generate simulated data, train a neural net, and apply it on collected field data. ### Design Team Member @ Cal Transportation Team Jan 2019 – Jan 2020 ASCE transportation system designing, planning, and operation team. ### Project Team Lead @ Data Science Society at Berkeley Jan 2019 – Jan 2019 Using Kaggle dataset “Russian Troll Tweet” to build a sentiment analysis project in analyzing and visualizing the possible correlations in the tweets with the major political events took place in the 2016 presidential election. ## Education ### Master of Science - MS in Systems Engineering University of California, Berkeley ### Bachelor of Science - BS in Civil Engineering (Systems Engineering Focus) University of California, Berkeley ### BS & BA Minors in EECS and Data Science UC Berkeley Electrical Engineering & Computer Sciences (EECS) ### High School Diploma Mater Dei High School ### ESL Summer Academy Mercersburg Academy ## Contact & Social - LinkedIn: https://linkedin.com/in/jarvis-yuan --- Source: https://flows.cv/jarvis JSON Resume: https://flows.cv/jarvis/resume.json Last updated: 2026-04-10