Conrad Chan Email & Phone Number

Austin, Texas, US

• Nominated and recognized as a high-performance employee in the all-hands meeting
• 100% accuracy improvement in failure detection by developing a data analysis algorithm usingDBScan and Random Forest to classify 4 categorical failure modes based on 2-parameter data (forDBScan), and multi-parameter.
• Redesigned BMS board for next generation OCV/ACIR, with 4 additional self-test features, 4x costreduction, 300x improvement in reliability (500k cycles tested in factory), 4x time reduction in systeminstallation from.
• Introduced automatic termination mechanism for CAN multinode circuit chain for the next generationsystem, with 3x reduction in software communication failure, 3x reduction in labor, and time to installand debug.
• Introduced mechanical design to prevent cell punctures from loose pogo pins. Resolved a potential firerisk that could cause over $500k in damage to the factory.
• Scope of work:

Austin, Texas, US

system bring-up for the cell formation process (OCV and ACIR). From PCB design, validation, and end-of-line tester design, to managing contract manufacturers for hardware installation, and on-site electrical system debugging to meet the ambitious Tesla timeline. Collaborate with software and firmware team and involved in firmware flashing and database.

Austin, Texas, US

• Hardware Bring-up of a precision current sensing system with a nominal error of 30ppm over a measurement range of 10-33A for battery calibration
• Developed a Python program to optimize the sensitivity of an NTC to achieve maximum error < 1℃ from 20℃ to 50℃
• Using Altium Nexus, design a functionality testbench for a fire hazard detection board in the battery manufacturing site. Testbench includes a PCB test board and the testing code using nidaqmx in Python.Reduced labor.

Dallas, TX, US

• Project 1: Wafer-level ESD Diode Characterization Description: Designed a LabVIEW state machine to perform I-V sweeps on wafer-level ESD diodes to obtain their I-V curve. Developed a Python program using Pandas.
• Project 2: Wafer-level Resistor Parameters ExtractionDescription: Processed large measurement excel data set using Python Pandas and xlsxwriter. Performed wafer-level resistor geometry and temperature coefficient.

Goleta, California, US

• Successfully implemented an automated closed-loop precision temperature control system (<0.5C error) using the Internal Model Control (IMC) to characterize the effect of temperature on the Rdson of a Gallium Nitride.
• Overcame challenges in controlling a first-order plus dead time (FOPDT) closed-loop system.
• Developed algorithm to adaptively optimize the gain in a PID controller with different heating blocks

San Luis Obispo, CA, US

• Instructional Student Assistant in Computer Engineering class CPE-133
• assist students for solving problems in their verilog assignments.
• debug errors in Verilog program.

Moffett Field, California, US

• NASA Community College Aerospace Scholars
• Building and assembling Mars rover prototype using 3D CAD and physical building blocks
• Programmed the rover to distinguish and to retrieve rock samples back to the base
• Successfully integrated a light sensor to the rover for path tracing
• Developed troubleshooting, team management, and time-management skills

• Highly organized, with a proven ability to manage multiple tasks in fast-paced work environments
• Equally skilled working independently or as a member of a team

Undergraduate Certificate, Machine Learning

Postgraduate Degree, Electrical And Electronics Engineering

Bachelor'S Degree, Electrical And Electronics Engineering