Zile Xiang Email & Phone Number

New York, NY, US

San Francisco Bay Area

• SoM Flasher Fixture Development
• Developed and handbuilt a custom NXP i.MX 8 System on Module (SoM) flasher fixture, increasing operational efficiency by 400% through simultaneous flashing and real-time monitoring of 4 SoMs within a single integrated.
• Designed and implemented an internal monitor tool with Python and PyQt-based GUI, enabling real time monitoring of four SoMs under a unified interface.
• Authored Test Specification and Bill of Materials (BOM) documents, ensuring thorough quality assurance with detailed use cases that covered 100% of the fixture's functionality. Simplified operational efforts and made.
• Built a Python-based automation solution to fully automate the extraction, processing, and uploading of manufacturing test data, handling multiple file encodings. Streamlined data ingestion from daily CSV test files.
• Designed a multi-platform file transfer automation solution that utilized Snowflake as the data relay storage for test data, and Fivetran connectors to automate daily file transfers, improving accuracy and reliability.

Stony Brook, New York, United States

• Led a comprehensive study on Divisible Load Theory (DLT) integrated with Gustafson's and Amdahl’s Laws, enhancing computational efficiency across both homogeneous and heterogeneous systems within large-scale computing.
• Devised a unified framework employing DLT with Gustafson’s and Juurlink’s Laws for optimized parallel processing, addressing load distribution in different network topologies.
• Performed simulations based on MATLAB to analyze the speedup of various divisible load models, examining their performances under a range of parallelizable workload proportion values in systems with heterogeneous and.
• Proposed new divisible load speedup equations, offering adaptable solutions for various network topologies and load distribution policies.
• Documented significant speedup improvements: 23 for heterogeneous processor systems and 42 for homogeneous processor systems, demonstrating enhanced efficiency over a spectrum of parallelizable workload proportion.

Stony Brook, New York, United States

Worked as TA in C Programming Course to teach students about the fundamentals of coding

Huntington, New York, United States

• Diagnosed and rectified issues on faulty PC boards, achieving an 89% repair rate. This efficiency led toa savings of $400,000 (based on rework cost of $1000/board).
• Analyzed and repaired five different types of PCBs, with approximately 1,500 components on each.Leveraging in-depth knowledge of digital/analog circuits, achieved progress 82% faster than expected,leading to.
• Authored Standard Operating Procedures (SOPs) that could decrease both training and analysisdurations by 60%, establishing foundational procedures for future troubleshooting for the company.

Doctor Of Philosophy - Phd, Electrical Engineering

Master Of Engineering - Meng, Electrical Engineering, 3.85/4.00

Coursework in Wireless Network, Integrated Circuits, Cyber Physical Systems, Computer Network, Convex Optimization, Digital Signal.

Bachelor Of Engineering - Be, Electrical And Electronics Engineering

High School Diploma