Avani Patel

About Avani Patel

Material science/physics engineer with High-volume manufacturing experience at Intel (Cleanroom fab) and in a start-up environment. Experienced in reliability testing as well as Semiconductor manufacturing process like CVD, EPI, Lithography, Etching. Well-versed in new product introduction (NPI), Engineering change notices, failure analysis, yield improvement, different material characterization techniques, DOE, JMP, SPC, quality data analysis, and process optimization.

Experience

1. Process Engineer

   Intel

   Jun 2022 — Present · Hillsboro, OR, US

   Demonstrated NMOS/PMOS tool operations in FEOL and BEOL die-level reliability testing, combining process expertise with semiconductor fabrication knowledge to ensure reliable, high-quality devices. Led a cross-functional team to establish a New Product Introduction (NPI) process to run products from ramp to high-volume manufacturing and transfer recipes to 2 additional sites.• Implemented burn-in and burn-out thermal stress test and electrical test of monolithic and stacked die in 2.5D/3D packaging technology for multiple products to enhance BE Yield.• Performed failure analysis of inline defect using SEM, EDX and XPS to increase process stability with the help of reducing process variance and streamlining qualification procedure.• Developed and implemented SPC (Statistical process control) and RFC for each technology generation and ran process performances and capability checks as daily activities.• Designed and implemented fixtures with the help of third-party vendors for improving personnel safety.• Achieved 75% equipment uptime rate by improving preventive maintenance check list, minimizing production disruption, and ensuring continuous operations.• Improved engineering change notice (ECN) procedure, resulting in 10% decrease in ECN approval time and faster turnaround time with equipment manufacturer.• Led a cross functional team to establish new procedures, achieving seamless technology transfer to virtual factories and maintain minimal variation in current process to support high volume manufacturing (HVM).

Education

• Arizona State University

  Master's degree, Materials Science

  2020 — 2022

• Sardar Vallabhbhai National Institute of Technology, Surat

  Master of Science - MS, Engineering Physics/Applied Physics

  2010 — 2015