AboutMe

Over the course of my undergraduate studies, I have developed a broad range of engineering skills both through curricular and extracurricular programs spanning multiple fields. At university, I have worked on and led multiple projects that demonstrate my abilities. During an industry-led project with Össur, I contributed to the mechanical design and user application of an upper limb prosthesis. Most recently, I worked with a team to develop an automated endo-robotic solution. During my second year, my work ethic was recognised by my advisor and I was awarded the Open Prize for Biomedical Engineering.

My CV!

Now, I am studying at Heriot-Watt University, doing a Masters in Robotics with Industrial Application

My top skills

My biggest project (so far)

• Soft Robotics Inverse Kinematics MLPR AI

Current work / Learning

• Learning ROS Catkin in Noetic Linux Learning , A* , Extended Kalman Filter

• Machine learning classification in medical imaging MRI

• Genetic Algorithm tuning Repo

• End-to-End IoT system design ESP-NOW - Now with Website! , MQTT Node-RED App

Past projects:

• AI for Control of Soft Robotics using Machine Learning and Inverse Kinematics (Python and MATLAB)

• Statistical Python SolidWorks and medical paper data analysis

• Python based surgical trainer / simulator for laparoscopic cholecystectomy

• C# .NET Framework windows user app for acclimation with a prosthetic device

• C# .NET Framework windows app for mechanical devlopment using extended period cycle testing

• Arduino/C++ Mechatronic Coding for prosthetic finger

• Arduino/C++ + Java processing using EMG to actuate upper limb prosthesis