M. Amanullah Khan Email & Phone Number

Chicago, Il, Us

Niles, Illinois, United States

Wireless FPGA Systems• Designed, implemented, and tested RTL (VHDL) for an automatic gain controller (AGC) that interfaced with a RF-ADC (AD6676) for a multi-channel receiver.• Wrote testbenches and verification code in Python using pytest, cocotb, and ModelSim for hardware simulations.• Utilized signal generators and Integrated Logic Analyzers (ILA) to test/debug FPGA image on physical units.

Santa Clara, California, United States

Clock and Timing Solutions• Operated Teradyne UltraFlex and various other Automatic Test Equipment (ATE) to conduct comprehensive testing of semiconductor devices.• Adapted and optimized Visual Basic code for UltraFlex to run on UltraFlex Plus platform to reduce test time. • Designed and implemented specialized tests aimed at identifying customer-specific failures, subsequently validating the tests through analysis of customer returned units.

Santa Clara, California, United States

Clock and Timing Solutions• Developed Python and C++ code to facilitate the automation of characterization data analysis, eliminating the need for manual data manipulation.• Created GUI to replace command line interface for existing apps via Python’s Tkinter library.• Analyzed characterization data to determine production test limits, predict yield data, and identify failures.

San Francisco, California, United States

• Executed computer science lessons over Zoom for students ages 8-18, adapting to student needs and interests by assessing their learning level and personally tailoring a teaching style.• Communicated with parents on a regular basis, providing updates on learning progression.• Maintained records for each student over the course of a year, covering multiple courses and skill levels from basic Python to introductory data structures and algorithms.

Master Of Science - Ms, Electrical And Computer Engineering

Bachelor Of Science - Bs, Electrical Engineering With Honors, Minor In Computer Science, 3.57/4.0

Senior Thesis: An Efficient and Scalable Method for Authenticating Microchips Using Physically Unclonable Functions and Blockchain