Experience

Helika

• Canada
• Blockchain Services
• 1 - 100 Employee

• Business Intelligence Analyst

  • May 2023 - Present

  - Deal with client requests (building ad-hoc custom data visualization and writing SQL queries) - Focus on building presentations to drive data storytelling, and provide business prospects. - Focus on building our core data analytics product - Deal with client requests (building ad-hoc custom data visualization and writing SQL queries) - Focus on building presentations to drive data storytelling, and provide business prospects. - Focus on building our core data analytics product



Intel Corporation

• United States
• Semiconductor Manufacturing
• 700 & Above Employee

• FPGA Early Prototyping Engineer

  • Oct 2021 - May 2023

  - Generate FPGA Models for validation in Pre-Silicon Validation phase- Support IP (CSME & SPBC) RTL bug fix - Familiar with EDA tools from Xilinx and Synopsys (VCS, Protocompiler & etc)- Script writing in C-shell, TCL and Makefile.

• Pre-Silicon Validation Graduate Trainee

  • May 2021 - Sep 2021

  -In charge of FPGA platform AIO image generation for CSME & SPBC security IPs-Support IP system validation team in adhoc connection signals for test content development -Fixing bugs found in FPGA platform



IMT Lille Douai

• France
• Civic and Social Organizations

• Research Intern

  • Oct 2019 - Dec 2019

  -Research in Signal Processing for the data collected from the environmental sensors at Public Library in Lille, France. -Principal Component Analysis (PCA) is used for data visualization for the environmental factor results collected from the sensors in 2D and 3D form -KNN classification is applied for classification of the data simulated in PCA. -Matlab software is used for the entire simulation project -Research in Signal Processing for the data collected from the environmental sensors at Public Library in Lille, France. -Principal Component Analysis (PCA) is used for data visualization for the environmental factor results collected from the sensors in 2D and 3D form -KNN classification is applied for classification of the data simulated in PCA. -Matlab software is used for the entire simulation project