Ismail Sharief

+1-585-***-**** adzpjt@r.postjobfree.com adzpjt@r.postjobfree.com www.linkedin.com/in/ismail-sharief San Diego,CA Experience

Qualcomm - Modem System Test Engineer - Functional Team - San Diego, CA Mar 21 - Present

• Developed expertise across various 5G areas like Sub6(NSA, SA) and mmWave(NSA, NRDC) as a part of the 5G functional feature integration team.

• Implemented test plan to validate 3GPP expectations for PHY, MAC, and RRC layers for functional call flows such as NR2NR Mobility, Peak Throughput, and RLF.

• Tested New UE features pertaining to Dynamic Spectrum Sharing(DSS), CDRX, ULCA, DLCA, Non-Contiguous frequency coreset, DMRS,PDCCH, and PDSCH.

• Debugged UE logs using postprocessing tools like QXDM, LAF and APEX on test simulators such as Keysight,Topcat,Wildcat. Analyzed modem stack and cellular technologies logs to identify the issues in call-flows, BLER, RLF’s, CSF, RSRP/SNR fluctuations and verify the solution.

• Worked on Python scripting for automating test cases using custom frameworks MTFpy and NextGen.

• Led the Ericsson, ZTE and Nokia OTA live testing and automated test scenarios like BWP, CA, add/release, activation/deactivation.

• Configured Keysight scripts to reproduce customer and field issues in the lab using the UE logs provided.

• Brought up multiple test setups for various test equipments such as Keysight,Topcat,Wildcat and OTA for different configuration areas like NRDC,FR1,FR2.

Projects

Kalman Filter based Recursive Estimation of Channel in MIMO-CDMA system Research Project-Wireless Com

• Kalman filter based Recursive estimator for joint estimation of channel and ( Aug 2020–Dec 2020) impulsive noise for MIMO-CDMA systems in the Rayleigh channel using matlab. Multicarrier CDMA implementation in Rician channel Wireless Com (Aug 2019 – Dec 2019)

• Implemented Multicarrier CDMA in the Rician channel using matlab also implemented DS-CDMA for performance analysis.Significant decrease in the Bit Error Rate of MC-CDMA. Real-Time Device Recognition using EM footprints Internet of things (Aug 2019 – Dec 2019)

• Recognised 8 different home applications each with just 30 data samples while training.Real-Time recognition is achieved with around 85% accuracy.Implemented One-vs-All Classifications process and used SVM, KNN and Linear classifiers to predict with better accuracy. Education

MS in Electrical Engineering (communication focus):GPA 3.4/4 Rochester Institute of Technology-Dec 2020 Wireless Communication, Sensor Array Proc-Wireless Communication, Digital Data Communication, Random Signals and Noise, Communication Networks, Data and Communication Networks, Telecommunications Concepts, Telecommunication Network Engineering, IoT. BE in Electronics and Communication:GPA 8.3/10 Ramaiah Institute of Technology-May 2018 Computer Communication Networks, Information Theory, Machine Learning, Cryptography and Network Security, Operating Systems, Object Oriented Programming, Data Structures. Indian Institute of Technology: Professional Certifications - 2018

•Cryptography •Operating System •Embedded System Design. Technical Skills

Programming and Tools: Python,C,C++,MATLAB,QXDM,APEX,LAF,CiscoTracer,Wireshark,Simulink,Socket Prog Proficiency: 4G,5G,NSA,SA,NRDC,MIMO,OFDMA,Sub6,mmWave,Beam Management,Beamforming,Protocol stack