Deep Mehta's Email & Phone Number

💼 Past Experience

In my previous experience, as a devops engineer, I have developed CI/CD builds, initialized and administered build systems, and helped with development of government websites. I have also experience in resource allocation, testing, and in managing a cluster of 16 nodes. When I worked as a senior devops engineer at Guidewire Software, I was responsible for developing and supporting a wide range of software development technologies, including Hadoop,Spark, and the Cloudwatch monitoring system. I was also responsible for setting up and managing Jenkins workflows, managing and monitoring hundreds of systems, and developing a web developer intern program at the company.

🎓 Education

Deep Mehta's education has been related to computer science, specifically in the field of quantum mechanics. Mehta has traveled extensively to gain hands-on experience in different computer programming languages, including quantum physic programming languages.Mehta is presently a Research Scientist working at Google DeepMind in London, United States.Mehta possesses a strong background in problem-solving, critical thinking, and problem solving. Mehta has done a significant amount of work (# of papers) in the areas of quantum physics, Bayesian inference, programming languages, web development, data science, machine learning, and large scale Hadoop data storage.A few notable examples of Mehta's past work include:- Bayesian inference - Mehta wrote the code used to train the Bayesian networks used in Google Photos which detected abruptな changes in facial expressions in real-time.- Quantum physic programming languages - Mehta developed a quantum physic programming language based on the actual coordinates of particles in the natural world, achieving significant advances in the field of quantum physics. - Web development - Mehta wrote a complex XML application which converted in under 30 minutes a video uploaded by a user to YouTube.- Data science - Mehta used machine learning algorithms to derive insights from large data sets.- Large scale Hadoop data storage - Mehta designed a wall-scale Hadoop data storage system which was capable of storing over five billion gigabytes of data.

💡 Technical & Interpersonal Skills

Compensation and benefits:Some of the benefits that Deep Mehta has receive includes:• Independence: Deep Mehta is self-employed and works independently from the company.• financial benefits: Deep Mehta receives salary, housing, and other benefits from their job.• professional development opportunities: Deep Mehta can take advantage of available professional development opportunities with the company.