Graduate / Machine learning SOP for graduate admission - field change from VLSI [7]

Hi, I am applying for Master's in a few US universities and I would be thankful if you are gratuitous enough review my essay.

Scenario: Field change from VLSI to Machine learning

Please point me to any grammatical mistake or redundant information that I can correct.

Essay:

Statement of Purpose
Learning is an enduring process. We have seen many fields in the past and present. Some thrive, some don't. We have seen physical devices get pushed to their limits and Moore's law getting enfeebled by the limitations on threshold voltages of CMOS devices. But a field in which we make computers learn things is continuous, simply because we have done the same throughout our evolution and we continue doing it. I am captivated with the design challenges inherent in making an intelligent system and want to contribute to meeting these challenges. I want to learn how these next-generation devices can be designed to support next-generation applications. I believe a studying in a graduate program will help me achieve the same.

To me, graduate school is a necessary road to relentlessly explore technology, and the means to symbiotically build more knowledge around it with fellow researchers. Having already been committed to the field of technology for more than six years, pursuing a Master's degree in the same from a reputed institution such as XXXXXX will galvanize my potential, solidify my grasp in the field, and prepare me to become the most competent professional that I have always wanted to be.

I recognised my passion for technology at a very young age. As son of two well established mathematicians, analytical and inquisitive skills inevitably reflected in both my thoughts and actions. Furthermore, I was fortunate enough to get several awards & scholarships, and consequently meet and discuss with esteemed scientists in various fields of science and engineering. After an exemplary academic performance in school, I made my way into NIT-Trichy, one of the premier Engineering institutes in the country, taking up its most sought after course. My undergraduate years here, in Electronics Engineering, opened gateways to work on many interesting projects ranging from building autonomous path finders to writing computer vision algorithms for real life applications. At each and every project, there was always something to learn, something to explore and this never-ending labyrinth completely engrossed my attention.

Image Processing became my focus of interest during the beginning of my undergraduate course. My project in IISc, Bangalore, where I developed algorithm for real-time object tracking in a live video feed, was my first rendezvous with machine learning. In the very short period I was there, I learnt how reinforcement learning can be applied to the problem of object tracking and adapting to different lighting conditions. I was commended for my work and support there in developing the algorithm and came up with bright ideas during discussions on how to implement the project. I was drawn to the wide scope of such research activities and it immediately became irresistible to dive into further exploration. On getting back to college, I worked in the Computer Vision lab to build a classifier for detecting ulcerous/bleeding tissues in a capsule endoscopy video. Using image format conversions and adaptive clustering through K-means I achieved extreme accuracies; the accolades from peer reviewers and my research adviser were highly encouraging, helping me publish the work in an acclaimed international journal.

Besides research and publications, as a member of Robotics club, I have enjoyed putting my skills to test while working with diverse members of the team. My algorithms and programming for the robots was an integral part in my team winning many national competitions. My final year project, where I developed a wireless system to actively monitor and maintain a uterus like environment in incubators, was nominated for the best projects award. The appraisal from the reviewers were highly positive and satisfying. After graduating from college, I joined NVIDIA, a well renowned company, which makes waves in GPU design and computing. Joining the low power design team, I worked on multiple projects, including the one where I architected a system to adaptively compute the live usage pattern of GPU and engage the low-power feature accordingly. This helped in bringing the dynamic power of the system down considerably with minor impact on performance. Working in NVIDIA helped me to understand the market level needs for machine learning and how they can be applied in sectors like automobile, medicine and gaming. I was lucky to join a wonderful team of brilliant engineers who share the same enthusiasm as I have for learning and experimenting new things. My journey with the low power team has been so far enlightening, opening my mind to the wide varieties of challenges faced in the VLSI & Computer Architecture industry, both from the manufacturer and the consumer perspectives. By the time I join the grad school, I would have completed two years of industrial work experience, which I believe will help me to have firsthand knowledge the requirements of modern-day people who reach out to technology for aid.

Academics and work aside, I enjoy taking part in several activities that keep me engaged. Having been elected the Overall Events Head in 2015 and Events Manager in 2014 for the ECE Association, I have developed considerable leadership and interpersonal skills. As a part of Bangalore trekking club and CSR initiative in NVIDIA, I have taken part in organising welfare programs for underprivileged children in Indian schools. It was a heartening experience to interact with them and it further motivated me to involve myself in more such activities.

One of the main reasons why I would like to be a part of your university is the myriad of research opportunities that are available. It would be a great opportunity to work on one of them. Given my research background, aptitude and love for problem discovery and solving, a career devoted to research is a natural choice. I have always done my best in every venture that I undertake and will continue to do so even while at your college. I believe that XXXXXXX can provide me with a truly unique opportunity to pursue a research career, and that I have both, the credentials to be worthy of, and the drive to be able to do justice to this opportunity. With no doubt in my mind regarding my suitability and level of preparedness for the Masters in Computer Engineering program at your college, I look forward to the favorable consideration of my candidature.