Faiad Sharif

Faiad Sharif

Trainee Patent Attorney

Bsc

Faiad has experience as a software engineer in robotics. This combined with his academic endeavours in artificial intelligence (AI) allows him to navigate our client’s IP and resolve any issues that arise.

Faiad’s work consists of patenting computer implemented IP, especially those involving artificial intelligence. However, he is not limited to his academic specialty as he also has an interest in more physical electronic inventions thanks to his background as a roboticist.

Faiad appreciates understanding his client’s inventions to their fullest and enjoys exploring the creative approaches they take to innovate in their respective fields. This in turn helps him in drafting and protecting their IP.

Faiad holds a Bachelor’s degree in Computer Science & Artificial Intelligence from the University of Bath. His dissertation explored the efficacy of meta-optimisation in machine learning and used his findings to create a predictive tool for powerlifting which outperformed the cutting-edge attempt in the field.

AREAS OF PRACTICE IN PATENTS:

Artificial intelligence
Consumer electronics
Data storage & retrieval
Display devices
Image processing (e.g. MRI)
Machine learning
Robotics

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Thought leadership from Faiad Sharif:

Articles Jan222026

Has the USPTO found a solution to the patent eligibility problem for AI inventions?

The arrival of the new US Patent and Trademark office (USPTO) Director, John A. Squires towards the end of 2025 has led to a flurry of activity from the USPTO in relation to patent eligibility.

Articles Apr232025

Patenting user-centric inventions in the UK is technically possible

In this article, we look at a recent UK case that illustrates how a user-centric invention that utilises hardware components, such as sensors and displays, can still fail to have an effect on a technical process. We also discuss how we can help you to determine whether a user-centric invention is likely to be patentable or not patentable in the UK.