With a PhD degree in Electrical Engineering, and publications in more than 20+ research articles in high-end top-notch Web of Science & Scopus indexed journals. I have expertise in following,
1. Academic Services
Thesis/Dissertation Writing
Research Article Writing
Literature Review Writing
Content Writing
Report Writing
Presentation Writing
Scientific Writing
Proposal Writing for NHS, NSERC, MITACS and EU.
2. I am a skilled AI specialist with a passion for cutting-edge technologies and a strong background in AI algorithms, including Deep Learning, CNN, Generative-AI, Large Language Models, AI Safety, Graph Neural Network, and Reinforcement Learning. My expertise also extends to developing robust ML pipelines and deploying them efficiently using Microsoft Azure. With a proven track record of delivering innovative solutions, I am committed to providing top-notch AI services that drive success for your projects. Let's collaborate and turn your ideas into reality!
If I can rate lower than zero then I will this freelancer was very rude with me and he doesn't have expertise as he claims and also refused to fix all his mistakes he only knows how to ask for more money
He is really knowledgeable in the domain of AI and wireless networks. I do recommend anybody seeking some help in this domain to not hesitate to recruit Mr. Faisal.
With a PhD in Electrical Engineering and over 20 research articles published in high-impact Web of Science and Scopus-indexed journals, I bring a robust background in both academia and applied artificial intelligence. My expertise spans a wide range of academic services, including thesis and dissertation writing, research article creation, and proposal writing for various funding bodies such as MITACS, NSERC and NSF.
aug., 2021 - Til stede
•
3 år, 4 måneder
Uddannelse
National University of Computer and Emerging Sciences
2018 - 2021
•
3 år
PhD in Electrical Engineering
Pakistan
2018 - 2021
•
3 år
Kvalifikationer
CCNA (Routing and switching) Instructor
2018
CISCO
I am a certified CISCO Instructor.
2018
Verifikationer
Til tiden
85 %
Indenfor budgettet
84 %
Accept andel
83 %
Genansættelse andel
15 %
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