
I spend my time in learning and using technologies. | I love writing code and collaborating with other developer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
axi4-mem-vip
March 8, 2026 – Present
SystemVerilog UVM verification IP for an AXI4 memory slave supporting INCR bursts, outstanding transactions, ID-based ordering, write strobes, and protocol SVA assertions.
View Projectaxi-matrix-accelerator
February 4, 2026 – Present
This project implements AXI-based matrix multiply accelerator.
View ProjectVivadoXSIM-UVM_verification
January 31, 2026 – Present
This repository showcases my hands-on SystemVerilog UVM verification using Xilinx Vivado XSIM, focusing on real-world RTL verification, debugging, coverage, and regression scenarios.
View Projectmy-graphicalUI-Qtapp
February 22, 2024 – February 22, 2024
This is a repository of Qt app which takes the 2 columns xlsx / csv file from user& plots the graph.
View ProjectHDLbits-practice-solution
February 6, 2024 – February 23, 2024
This is a repository containing my solutions to the problem statements given on HDLBits website.
View Projectraveem13.github.io
March 15, 2019 – February 16, 2022
raveem13.github.io — GitHub repository
View ProjectImagetoCSV_converter
February 25, 2019 – February 27, 2024
This converts tables in image to CSV using Python 3.6.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on hardware design and verification (SystemVerilog, Verilog, AXI, UVM, FreeRTOS). While there is one project involving Python for image-to-CSV conversion, the overall portfolio does not strongly align with a 'Data Scientist' target role, which typically requires strong statistical modeling, machine learning, and data analysis skills. The diversity of projects is good within the hardware domain, but less so for the specified target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.