• Conduct literature review on ML approaches (Reinforcement Learning) to optimize HVAC power efficiency in BEMS (Building Energy Management System), while ensuring occupants’ comfort.• Analyze a building’s historical dataset on feasibility to train Reinforcement Learning agent for optimization.

• Teach Database Principles, a data science master course.

• Constructed data pipeline for automatic events annotation using unlabelled images of ~2-hour driving, (via inference of pretrained detector, hand-crafted engineering rules), for unknown events mining, re-simulation data enrichment.• Built shallow neural networks from scratch, leveraged the time series logs of ~200 vehicles kinematics e.g. XYZ and rotations, to predict how drivers throttle/brake/steer, thus, to imitate the driving style of each individual driver.• Subjectively evaluate the performance of vision perception for autonomous valet parking, particularly object detector, line detector and free space detector, that are fine-tuned to detect obstacles, lane markers and parking space, respectively.

• Applied design thinking wheel methodologies, identified car consumers pain points and top-10 highly desired features.• Collaborated with graphic designers, building communication bridge between design studio and engineering team.• Derived product functional / system requirements according to desired features.• Designed software framework for car connectivity (V2X) features in ADAS, applied strictly modular design for the robustness of production-level software that targets not only one single car model.• Owned a software repository, kept iterated over 2+ years and assured that team-mates loved to contribute.• Led design validation tests, in both unit test and system integrated test, leveraging simulation, HW-in-Loop, Vehicle-in-Loop.• Troubleshooting issues detected during validation, iterated algorithms after issues resolution.• Defined one single quantifiable metric affected by tuning of multiple parameters, wrote scripts to auto-calibrate the parameters by grid search and auto-generate test reports.• Supervised the documentation of Design FMEA (Failure Mode Effects Analysis) for potential failure modes.• Enable V2X capability for L3 level autonomous driving system by creating V2X nodes in ROS2.

• Delivered fully automated parking features to local 2B clients, being held accountable for all technical matters.• Led a project technical team of 20+ engineering members across different functions.• Supervised the delivery milestones, organized in engineering tasks e.g. system requirements documentation, sensors mechanical design, ECU chip selection, PCB layout, basic software design, software testing, environmental testing etc.• Balanced the trade-off between cost (supplier selection), long-term quality (in-house development), and delivery timeline (outsourcing).

• Practically implemented / homologated assisted parking system for local target vehicle models.• Ran simulation tests for 12 ultrasonic sensors per vehicle to optimize parking slot detection.• Calibrated parameters for ultrasonic sensors, odometry and map construction algorithm in 20+ projects per year.• Performed both in-lab and on-road validation tests on automated parking features, analysed test data, wrote reports on 100+ tests throughout 3+ years.

• Served car dealers of JLR & VW on the maintenance of cars refrigerant recyclers. • Trained on-site technicians regularly (~ two times per month per dealer) on the usage of Electric Vehicle (EV) chargers. • Communicated technical issues of the equipments for troubleshooting, aiming to resolve the issues in one single day on-site visit.

• Supplied investment strategy inputs to portfolio planning of Cadillac brand during the five-month internship• Provided ~10 competitors intelligence insights on vehicle infotainment systems (central dashboard).• Benchmarked autonomous driving features of ~5 competitors, which either automatically or semi-automatically controlled a car's acceleration, brake and steering.• Sharpened my data analysis skills throughout this five-month internship, the earliest chapter of career.

• Supported for endurance tests on engine air intake manifolds.