Building solutions in the cloud is one of the most sought-after skills when it comes to building modern-day apps. So, I learned to build solutions in the cloud to help businesses maintain their operations in the safest and most scalable way possible. Along with developing solutions in AWS, I am pretty good at building and training machine learning models and integrating them into existing solutions in the most cost-effective way possible. Normally, engineers use AWS Sagemaker to maintain the ML models, but due to some budget constraints and the datasets used to train these models being static (they don't change over time), I had to find simpler workarounds to integrate my ML models into my REST APIs. That's why I chose Dockerized Lambda Functions. This approach might be a bit clunky but significantly cheaper than Sagemaker. Since AWS Cloud and the broader ML landscape are evolving quickly, I am constantly studying new concepts every day to keep myself relevant with the modern-day industry standards.

I did my Bachelor's in Business Administration degree in Amity Online University between the year 2021 - 2024. In my final semester dissertation, I selected the topic "Impact of Menu Variety on a Restaurant's Profitability" and used Python and some Software Libraries that run on Python which includes numpy, pandas and matplotlib to do various statistical analysis on the dataset I worked with. I selected this degree because of my curiosity about the global finance industry and how it impacts our every day life. In other words, I wanted to see how I fit in the Modern Global Economy and how I can contribute to our society in a meaningful way. These factors led me choose this degree and complete it.

Apart from working with Machine Learning Models and datasets, I do have certain other skills. Before I drowned myself into the ocean of Machine Learning, I did some video editing, some web design courses and obviously some web development and some few other simpler skills. Ocassionaly, I built several webapps, just to improve my programming skills and my understanding about Frontend and Backend Development. This helped me understand the Software programming side of Machine Learning. On the other hand, the University course I did, helped me understand the crucial approach required to solve various challenges which involved intelligence and demanded a disciplined mindset. On the other hand, my video editing skills gave me the inspiration to learn Deep Learning in general and made me understand the beauty of AI generated art and how artists can use these tools bolster their production.