Computer Architecture
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CS-F342-Computer-Architecture
May 8, 2022 – June 9, 2022
All the labs and assignment solutions for the course.
View ProjectUVM-Based-NoC-Verification
April 4, 2022 – April 26, 2022
This repository contains a UVM based testbench written by me in order to carry out the block level verification of an NoC Mesh, as part of a project.
View Projectcs-f372-assignment
November 5, 2021 – December 2, 2021
CS F372 (Operating Systems) Assignment
View ProjectHandover-Simulation
June 14, 2021 – June 17, 2021
Techniques to ensure a seamless continuous connection of a communication system at high speeds
View ProjectKF-in-microgrids
January 6, 2021 – February 17, 2021
Kalman Filter Applications in Microgrids
View ProjectState-Estimation
December 25, 2020 – January 2, 2021
Filters for position, velocity and acceleration estimation
View ProjectHexacopter-Simulation
July 28, 2020 – August 14, 2020
A Hexacopter Simulation in ROS and Gazebo
View ProjectFilters
March 16, 2020 – September 4, 2020
Implemented filters for sensor fusion of accelerometer & gyroscope
View ProjectInverse-Kinematic-Robot-Arm
January 27, 2020 – May 7, 2020
A 3-DOF Robot Arm that travels to a given spacial coordinate by calculating angles to each of the servo.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong inclination towards self-directed learning and exploration across diverse technical domains, from robotics and control systems to computer architecture. This indicates a proactive and curious mindset. The variety of technologies used (Python, Matlab, C++, Verilog, JavaScript, Java, Ruby, Objective C) suggests adaptability and a willingness to learn new tools. The projects align with a problem-solving culture, but specific insights into team collaboration or cultural alignment are not available.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technical, but do not provide insight into collaboration, problem-solving approach, or communication style in a team setting.