I am PhD qualified, a committed private tutor and scientific consultant with strong experience in engineering and science. For over ten years, I have been an instructor in various subjects, including computer science, biomedical engineering, artificial intelligence, and electronics. At one of the Russel Group universities in London, I am currently employed as a Paradigm Developer. Having completed my Ph.D. in Biomedical Engineering at Brunel University London, I have a wealth of academic and research experience. I have a strong interest in promoting innovation and knowledge sharing. I have a track record of helping professionals and students reach their academic and professional objectives, and my work has been acknowledged in esteemed journals and conferences.

The foundation of my teaching philosophy is the idea that learning is a shared experience. My goal is to establish a stimulating and encouraging learning atmosphere where students are inspired to investigate, pose inquiries, and hone their critical thinking abilities. I use a student-centered approach to teaching, adjusting my strategies to fit each student's requirements and learning preferences. I try to make difficult ideas approachable and relatable by incorporating practical applications and hands-on projects, which help students gain a thorough understanding and appreciation of the subject.

Using my substantial research and industry experience, I provide project management and consulting services in addition to teaching. I have successfully led and contributed to numerous multidisciplinary projects, including developing advanced biomedical devices, machine learning algorithms for medical applications, and innovative electronics and computer engineering solutions. I aim to help clients overcome project problems and attain exceptional outcomes by offering professional advice and assistance.

I'm here to support your success whether you're a professional searching for expert advice or a student looking for academic support. Together, let's reach your objectives and realize your greatest potential.

Engineering, Computer Science, Maths, Biomedical, AI and Data Science


SKILLS
• Programming Python, Matlab, C++, Java, VHDL
• Software & Tools: Machine learning (scikit-learn, TensorFlow), Fusion 360 CAD, Proteus, KiCAD, Arduino IDE, Xilinx Vivado, LATEX
• Hardware: PI Actuators and Controller, NI DAQ Devices, PYNQ Z1 FPGA, Arduino Uno (ATmega328P), 3D printers (FDM and SLA)