As a Cloud Solution Architect at HP, I develop and maintain the solution architecture for applications running in AWS, with a specialization on data availability and data engineering. I also provide expertise on improving application performance and develop Artificial Intelligence and Machine Learning use cases and solutions. I assist with solution design to help with prototyping and production, and work closely with the application development team to engineer applications that are highly available, scalable, and secure.I have a Master of Engineering (MEng) in Electronic and Computer Engineering Honours from the University of Nottingham, where I received the Dean's Excellence Scholarship for academic performance for three consecutive years. I have also completed multiple certifications in Machine Learning, Python, and Data Science from Coursera and DataCamp. I have published a research paper on how to implement intelligence on the cloud for detecting faults in oil and gas pipelines. I am passionate about digital transformation and driving actionable business recommendations that deliver value to clients and partners. I am open to connecting with individuals and organizations within the big data, digital transformation, and machine learning arena.
Listed skills include Matlab, Microsoft Office, Machine Learning, C++, and 44 others.
