Work

Experience

Professional journey in semiconductor manufacturing, AI automation, and STEM education.

Career

Experience

Hardware Ecosystem Engineer

Arm

  • Identified cost hotspots using Python and investigated the mechanical enclosure of the hardware system.
  • Managing ecosystem partner relationships to validate device verification and support release for data center delivery.

Graduate Engineer

Intel Corporation

  • Engineered a synthetic data pipeline using Python, generating 10,000+ test graphs, enabling scalable CNN training.
  • Developed an 8-layer CNN architecture using Python (PyTorch, SciPy, L2 regularization), achieving 92.43% accuracy.

Signal & Power Integrity Solutions

Siemens EDA

  • Developed an automated signal integrity and power integrity validation system using Python Tkinter GUI.
  • Automated DRC for differential pairs using Python/Linux tooling, resulting in ~90% reduction in review time.

Electrical Engineer

Honeywell Aerospace

  • Automated avionics workflows using Python and JIRA, reducing test cycle time by 50% through optimization.
  • Developed a data pipeline using Python on NVIDIA JETSON, reducing latency by 1s for signal communications on UAVs.

Data Science Research Intern

USAA (TDMN)

  • Analyzed customer data using Python with K-means and NLP, improving satisfaction by 10% through insights.
  • Conducted EDA on thousands of call transcripts with clustering algorithms, reducing friction scores by 15%.

Teaching

Teaching Experience

Teaching Assistant & Grader

Arizona State University

  • Delivered instruction across 20+ STEM courses using workshops and labs, resulting in improved student performance.
  • Designed and revised course materials and syllabi, resulting in clearer learning outcomes.

Tutoring Assistant

Mountain Pointe High School

  • Supported classroom instruction using guided problem-solving, resulting in stronger foundational skills.
  • Mentored students individually, resulting in increased academic confidence.