A Collaborative Program That Made Satish Kumar a Machine Learning Scientist at Amazon

As someone who has always been passionate about technology, I find myself constantly drawn to the fields of computers, machinery, and artificial intelligence. My name is Satish Kumar, and I hail from the beautiful town of Uttarkashi. Even as a child, I was already displaying a strong interest in mechanics. Whenever an electrical device broke down in my house, I would take it upon myself to fix it. My DIY skills were so impressive that soon enough, my reputation as a skilled mechanic spread throughout the entire colony. With each passing day, my interest in technology only grew stronger, and I continued to be fascinated by the endless possibilities that exist in this exciting field.

At the age of 19, when I was about to start my university education, I had one main concern - would I be able to pursue my dream career without making any compromises? This is a common question or worry for many students when starting college. I ultimately decided to enroll at Quantum University in Roorkee, where there were a range of engineering programs available such as BTech in Cyber Security, Civil Engineering, Mechanical Engineering, Data Science, Cloud Computing, and Full Stack. However, I ended up choosing B. Tech in Artificial Intelligence & Machine Learning, as it matched my interests and was offered in collaboration with Samatrix, a leading provider of technology solutions and training in India. This was the perfect choice for me.

Artificial Intelligence & Machine Learning is a field where systems work, learn, and improve from experience without being programmed in depth. Machines can execute tasks smartly. AI is a combination of computer science and robust datasets, to enable problem-solving. After joining the university I had an aim in mind to join and set my career in an MNC - "Amazon".

During my last year, I had the opportunity to work as a Machine Learning Intern with the professionals at Samatrix. This experience helped me understand the broad scope of artificial intelligence in the industry, and it stimulated my desire to become one of the best Machine Learning Scientists. I learned AI through an array of creative methods and technologies, and the advanced curriculum made me familiar with the details of automation, data analysis, pattern recognition, and other related areas in the field. I received hands-on training, which helped me grow according to the industrial needs.

The advanced knowledge, industrial training, and modern curriculum I received, provided me with the skills that recruiters were looking for. During my last semester, many global companies, such as Microsoft, Adobe, Quick Heal, and Syntell, visited our campus and offered us a number of exciting job opportunities. Interestingly, Amazon was also a part of the campus drive and was planning to utilize artificial intelligence to rebuild itself. I was extremely excited and eagerly awaited my interview with the Amazon professionals. As I was able to quickly understand and learn the concepts and algorithms of AI and Machine Learning, I was fortunate enough to be selected for the job.

As a Machine Learning Scientist at Amazon, my primary responsibility is to design cutting-edge AI systems that can make accurate predictions. The field of Machine Learning is in high demand, with companies constantly looking for skilled professionals. Therefore, when considering a program, I will highly recommend selecting a collaborative one that can help boost your confidence and develop higher-level thinking skills. Additionally, attending a university that has direct links with industries can be incredibly beneficial, as it can provide you with the necessary skills and knowledge to succeed in the corporate world. By choosing a program that is collaborative and industry-focused, you can set yourself up for a successful career in Machine Learning and other related fields.

About the Author:

Dr Vivek Kumar, Vice Chancellor, Quantum University

Note: The views expressed in this article are solely the author’s own and do not reflect/represent those of Shiksha