| CV | Github | LinkedIn | LC |

I recently graduated from the University of Illinois at Urbana-Champaign with a Bachelor's degree in Computer Engineering, concentrating on Hardware Systems. My key interest areas are Machine Learning, Software Development, and especially ASIC Engineering.

During my sophomore year, I interned at eMemory Technology as a FPGA Engineer. In this role, I collaborated with a team to implement encryption algorithms on FPGA, enhancing throughput via pipelining. My tasks involved algorithm implementation using SystemVerilog and providing clear documentation for workflow understanding.

These experiences have solidified my aspiration to apply my skills and passion, particularly in roles as an ASIC/FPGA Engineer, Software Engineer, or Hardware Engineer.

• [09/2020] Started my internship at eMemory!
• [11/2019] Showcased at Robot Day at the Orpheum Children's Science Museum.
• [09/2019] Joined iRobotics VEX U team.
• [08/2019] Started my undergraduate study at UIUC ECE.
• [11/2018] Attended Robotics workshop at Quanta.

Grounded Rope Management System For Belaying
Daniel Hsu, Abhyan Jaikishen, Christopher Zhang
| Design Doc | Final Report | Presentation |

AM2901-Based Microprocessor Design
Simulation of vintage bit-slice AMD AM2901 processor, including specification, layout, RTL coding, and verification.
| Documentation | Reference |

Space Invaders
Establishment of a System On Chip (SoC) interfaced with hardware peripherals, such as the USB keyboard and VGA monitor, to design a classic arcade – Space Invaders.
| Report |

AES on FPGA
Implementation and optimization of AES algorithms on FPGA, including SubBytes, ShiftRows, MixColumns, and AddRoundKey.
| Design | Pipelining Ref | Struct Code |

Linux Kernel Simulator
Creation of a simulated Linux operating system kernel with interrupt handling, memory management, device drivers, system calls, and multi-task scheduling.
| Documentation | Code | Reference |

Stock Price Predictor
Development of an LSTM ML model to forecast future stock prices based on historical data with a simple moving average line.
| Demo |

• Dean's List in Spring 2020

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