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One project i'm proud of is my internship project which was a full stack project where i had the chance to create a prototype of a template manager , storing the data into a cassandra database, alongside using springboot and java to work on the module structure and life of the project, I then used js and react for UI. This prototype was then deployed and is now being used by internal payment team at jpmc, instead of going to search every resource, i store all the templates in one template manager and they can know just search the nav bar and get the exact template they need. I'm proud of this project not only because it was my first real project using the new languages and frameworks i was learning during internship but it also gave me the confidence of knowing and seeing that I can do this even though i dont have a degree in this field!

We had this situation where a General Manager of Creditcards vertical came to Algorithms to help increase the volume while keeping the margin constant. Their request is to find areas where we can increase CPA, such that we bid higher and get more traffic. While I am reviewing the problem we found that there are two issues to deal with not one. So I took the initiative to solve both the problems. We came up with a plan where we speak with SEM team presented the inefficiency and corrections. We meet weekly and communicated the progress of each steps. We also tested our efforts and implemented with SEM team. In the end we are able to solve both problems. With our planning we saved time by solving both problems simultaneously.

In designing a new website, first analyze the content and target audience data to determine objective and threshold values in terms of site access and minimal and peak access times. Once you've determined the values you can design an N-tier server architecture to reduce load on single section by having an SSL decryption server, a app server, a database server, a content server and then multiple load balancers set up to distribute access loads based on your objective and threshold values. In a cloud based architecture, the use of individual docker containers for app / DB / encryption, etc accomplishes the same goal, with a kubernetes disturbed framework latency can be reduced and speed increased.