Worked with a startup where I was a part of the core team in development of the website that was launched. My contribution in the development were directly proceeded to the production where the product was shown by the sales team to US based clients.Talking about my contributions it consisted of working in React for FrontEnd and in Flask for Python.My work circulated around developing a website which could generated advertisement videos in matter of minutes. Powered by ChatGPT for developing the audio script and using external API to get small videos which then would be stitched together to render the final video. I extensively worked with the Movie.py python library and really enjoyed the experience.With this internship I worked with AWS as well, where I was incharge to put the code into production and test its performances on difference instance offered by AWS not to mention all of this work was being handled in parallel during the final semester of my Bachelors in Computer Science along with my end semester exams.To put summarise my work I:- Created and tested APIs for Flask backend- Worked and integrated external APIs such as ChatGPT 3.5 and Getty Images- Managed deployment with AWS- Managed React frontend- Integrated Stripe for payment

• Successfully executed a POC for Azure’s E+P Department on enhancing their current Azure Usage Billing system of the edge devices.• Integrated a new platform created by Microsoft’s Redmond to the departments billing system enabling it to be tested on specified regions of Azure customers• Played a pivotal vital role for the team to gather insights and the team was able to integrate the new pipeline into the existing system.

• Developed and implemented a model on machine learning, collaborative filtering for the data of students from Neo4j to recommend students learning path and course/subjects recommendation.• Assumed a key model among the company’s main recommendation feature, currently being used by more the 100,000 students through ExtraMarks’ app.