Samir Shaikh is a seasoned software professional with a passion for developing scalable, clean software designs using cloud technologies. He has worked for top multinationals such as General Electric, Ernst & Young, Cisco, and Samsung Electronics, gaining experience in server-side Java development, rapid application development, performance engineering, and cloud technologies such as cloud foundry, spring, springboot, app dynamics, elk/splunk, and hadoop.

With broad experience in IOT and cloud development, Samir has worked on diverse projects such as RMD Analytics (IBM Bluemix) and Machine Learning Recommender systems (IBM Watson, NLP) and pioneered the concept of Internet For Everyone (InternetForEveryone.Net), a research project which aims to open up closed service networks to democratize services.

Along with Stanford University education, his professional background includes senior advisory panel experience for Fortune 500 companies for build/buy/invest activities.

Samir is a versatile professional who has experience in developing applications in NodeJS, Python, Objective-C, and Swift iOS. He continues to work as an entrepreneurial researcher, most recently initiating the development of Workforce API (Near.Biz) for IOT Services.

Overall, Samir's wealth of experience and expertise in cloud development and software engineering make him a valuable asset for any organization looking to develop a modern and scalable cloud infrastructure.