CV

My academic CV.

Contact Information

Name Xiaosi Zhang
Professional Title Senior Software Systems Engineer
Email
Location San Jose, California

Professional Summary

Senior Software Systems Engineer with a Ph.D. from Vanderbilt University, working at the intersection of semiconductor systems, computer vision, and machine learning. Designs scalable end-to-end solutions for registration, defect detection, and robust matching in structured environments.

Experience

  • 2023 -

    Senior Software Systems Engineer
    PDF Solutions
    1D Registration Location Discovery – Geometry-based Pattern Search (Mar 2026 – Present)
    • Designed a geometry-aware search system to identify robust registration locations from semiconductor layouts using edge-based spatial analysis.
    • Built efficient candidate generation and filtering mechanisms with spatial indexing and rule-based isolation constraints for structured layout patterns.
    • Developed scoring strategies to evaluate pattern quality and robustness under highly noisy conditions.
    • Designed and integrated an end-to-end pipeline from layout parsing to candidate search and result generation, deployed on HPC (SGE clusters) for scalable large-scale layout processing.
    Image-based Registration & Template Matching Pipeline (Oct 2025 – Mar 2026)
    • Designed an end-to-end image-based pipeline for registration location selection, including layout rasterization, candidate sampling, template matching, and quality scoring.
    • Applied computer vision techniques (template matching and correlation analysis) to identify robust patterns under noise, ambiguity, and repetitive structures.
    • Developed data-driven quality metrics (e.g., peak ratio, feature coverage) for pattern ranking and selection.
    • Built scalable and production-ready workflows, deployed across HPC (SGE) and AWS with debugging and validation pipelines for large-scale semiconductor inspection.
  • 2018 - 2023

    Graduate Research Assistant
    Vanderbilt University
    Ph.D. research in optoelectronic characterization, signal processing, and data-driven analysis
    • Performed optoelectronic characterization using scanning photocurrent microscopy (SPCM), generating spatially-resolved signal maps for device behavior and defect patterns.
    • Analyzed photocurrent and electrical signals to characterize carrier transport, device variability, and pattern-level anomalies across spatial regions.
    • Developed signal and image processing pipelines (MATLAB/Python) for noise reduction, feature extraction, and spatial pattern recognition.
    • Explored data-driven approaches for pattern analysis and feature extraction from high-dimensional measurement data.

Education

  • 2018 - 2023

    Nashville, TN, USA

    Ph.D.
    Vanderbilt University
    Electrical Engineering and Computer Science
  • 2014 - 2018

    Wuhan, China

    B.Sc.
    Huazhong University of Science and Technology
    Materials Forming and Control Engineering

Awards

  • 2018
    Hamilton Fellowship
    Vanderbilt University

    Fellowship awarded to support doctoral studies.

Languages

Chinese : Native speaker
English : Fluent