Helping Micron to accelerate intelligence through data and algorithms
I hold a PhD degree from IIT Madras in Game theory and Machine Learning. Early on in my career, I realized that with the way technology is booming, its important to grasp fundamentals of STEM and build a core foundation for my career. Even though there are a lot of online courses to choose from nowadays, I believe that investing a good amount of time to sharpen your fundamentals will stand you in a good stead for a long drawn career.
I was a control engineer previously, helping organizations to build intelligent architectures for control of hybrid vehicles. Prior to my present experience, I have worked with Eaton and Bosch. As a part of my job, I have been stationed in US and Germany and have been exposed to a global culture. I have been fortunate enough to contribute to cutting edge technologies like hydraulic hybrid vehicle and smart cars. Today, I work on Data Science related problems. I was able to switch my domain because of expertise in math and software. The most important thing is upskilling in an age where rapid transformations are occurring in the manner in which business problems are solved. With a solid base in your fundamentals, and the skill to learn new technologies, you can be rest assured that you will always be prepared for the ever changing demands from a corporate professional today.
Staff Data Science Engineer, adept at using AI to transform lives
I am a Staff Data Science Engineer at Micron, helping teams to build and deploy AI solutions. At Micron, we handle a lot of data related to design and manufacturing of memory solutions, which is Micron's core business. Our team is responsible to analyze and use the data to gather actionable insights. These insights are then used to take the business process to the next level, be it to enable smart manufacturing, or making support systems more efficient.
In my role, I am specifically responsible for collecting and processing data, building and training models, and deploying models for the end user within Micron systems. Once basic analysis is done, depending on the problem statement, our team builds a predictive algorithm which transforms the data to intelligence, which can be used downstream for improved quality, productivity or efficiency. The predictive enablement can be an ML model like regression or a classification model, a Deep Learning Model like VGG, ResNet, YOLO etc, or even a non ML algorithm like basic image processing routines etc.
Through usage of advanced AI, we strive to strengthen Micron's core design and manufacturing capabilities and help the world to use information to enrich life.
Enabling direct impact towards achieving a smarter planet
My current role enables me to directly hit the bottom line with respect to enabling smart manufacturing. From studying data to deriving deep insights and predictions and discussing and brainstorming with global teams, I am becoming a part of the process where Micron's process and design capabilities are taken a notch further. There is no further motivation than knowing that your skills as a data science engineer is being put to the best use by the organization to make its products more capable and future ready. When your accountability is fixed, then you know that you have become a key cog in the wheel of the organization's motion towards success.
Another dimension to the work culture at Micron is the tremendous focus on developing a people-centric culture. Be it giving extra ordinary support for the employees during covid, or taking some time off due to personal emergencies, or recognizing and promoting talent, or celebrating small events, Micron does not leave a stone unturned in making employees feel at home. I always felt that I am part of a very big global family, with very strong support systems to ensure "People - First"
Grab opportunities to showcase your strengths and always upskill
To a future team member at Micron, the most important career advice I would give, is to constantly keep learning and to never be afraid of failures. If you can learn from the past failures and always keep improving, then there will be no obstacles tor you to achieve a glowing career. Micron encourages employees to experiment and fail, but fail fast and learn quick!!
In a technical and engineering organization like Micron, it is of utmost importance that you keep in touch with your core area of specialization. You do this by making maximal use of the company sponsored resources to advance your learning, and by reading about new technology and innovation in your field. Areas like Data Science are rapidly evolving everyday, and its in our and the company's best interests to always keep upskilling. This becomes more relevant keeping in mind that the semi-conductor business that Micron is in, is highly competitive. If we dont catch up with the market, then someone else already has!!
Another advise will be to recognize opportunities to showcase your strengths. Sometimes, these opportunities will come in the form of obstacles. Grab these moments and make them work for you. Take initiative to build your career from strength to strength, do not depend on someone else to walk your career.
Led increase in manufacturing efficiency via advanced AI techniques
Within a span of 7 months into Micron, I was able to successfully build and deploy successful AI systems that increased manufacturing efficiency manifold. The AI systems enabled engineers at Micron to automate defect identification in images of the manufactured products. These defects would have been otherwise very difficult to detect and analyze manually. The AI systems are highly accurate and resulted in saving hundreds of manhours for key measurements and analysis.
What I am most proud about is the fact that I fully utilized the opportunities that was provided to me to make an impact on Micron's core businesses, within a short span of time. The realization that I am a part of solutions that drive further AI, smart computing and intelligent transport systems is one of the most motivating factors for me at Micron.
