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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLEEDUCATIONGeorgia Institute of Technology, Atlanta, GAMaster of Science in Computer EngineeringJilin University, ChinaBachelor of Engineering in Material ProcessingJan 2021-CurrentGraduated Jul 2006SKILLSProgramming & Database Python, Java, C++Data Analytics & VisualizationProject ManagementR (tidyverse, dplyr, ggplot2), Python (pandas, NumPy, SciPy) 10 + years of experience auto industry (engineering and production line construction. Familiar with robotics, automotive safety)PROFESSIONAL EXPERIENCEProject Manager, MINO Automation USA, San Jose CA Sep 2019 CurrentProject 1: Electric Vehicle Company Floor production line construction and commission(Tesla Model Y)Creating plans, setting milestones and target.Implementing plans with team, make decision.Leading Robot/PLC commissionCommunicating with customers adapt to change in a fast-paced environmentProject 2: Electric Vehicle Company energy storage frame production line construction and commission(Tesla Megapack)Creating plans, setting milestones and target.Implementing plans with team, make decision.Overcoming challenges in the first ever large-scale energy storage product framework production line construction Section in Charge, GAC Honda Automobile Co., Ltd, Guangzhou, China July 2006 - May 2015Project 1: Honda welding workshop, quality control department.Develop manufacturing techniques including processing and welding.Designing machining workshop building and selecting production line equipment.Implementing plans and launching production line.Daily management of robot welding.RELEVANT PROJECTS (Course Project)1. Knowledge-Based AI (2021)I developed a Knowledge-Based Artificial Intelligence to solve the Ravens Progressive Matrices. The final project combined Contour Recognition & Reasoning and pixel related Visual Heuristics to address the compute the input and based on the pattern found to determine which answer follows the pattern the best. The contour recognition way of AI is similar to human. 2. Asteroids (2021)There are two main tasks, to estimate the locations of the asteroids using a Kalman Filter, and to navigate away from obstacles and reach the goal in a timely manner. My approaches used a fitness function which prioritized moving forward and deducted from being close to asteroids. I would predict the locations of the ship and asteroids for the next frame on each action, and choose best outcome based on the fitness function.3. Mars Glider (2021)The task is to localize a glider which is currently descending Mars. We have a map of the terrain height of the area it will land in, but do not know its exact location. There is only a height sensor, and we need to utilize a particle filter to estimate the glider's location. My approach used particle filter to localize the agent position (average the candidates locations) and fuzzing technique to robust the tracker.4. Race track (2022)The task is to implement a fuzzy logic agent that can race on a procedurally generated track to go as fast as we can without crashing or stuck. My approach used fuzzy logic to control the agent. The core strategy for controlling the motion of the agent is to predict the future position of the agent and target is to keep it on the center of the track, based on the current velocity vector. The steering of the agent is then determined based on this data. 5. Prison Dodgeball (2022)The task is to implement a Finite State Machine (FSM) to control each of a team of agents playing a game of Prison Dodgeball, also implement prediction code for calculating the trajectory of thrown dodgeball to intercept a moving target. My approach used projectile motion technique which is basically based on math (law of Cosines with 10% holdback). In my FSM, I used conservative offensive strategy which ensure no failed or wasted throwing for all team members(throw after evaluation and commutation). |
