Part of the team responsible for development and maintenance of products, services and infrastructure related to multimedia assets and video streaming on bloomberg.com and other customer facing web applications.

• Daily engineering tasks involve use of varied JavaScript frameworks and libraries (Next.js, React.js etc.), CDN management, Java Spring boot framework. Additionally, also responsible for running agile based team meetings including Sprint Planning, Retro and daily standups.

• Lead development of ActiveMQ consumer application (Spring Boot/JDK11) for an AWS based message queuing system.

• Worked on various parts of web stack including Nginx, HLS streaming, Ads integration, live/video on-demand stream monitoring, GTM, SEO etc.

• Involved in enhancing and partly automating On-boarding process for new hires in Bloomberg Consumer media department. Also, contributes to mentoring new hires on the team, running tech talk sessions within department and recruitment efforts.

• Lead development of a fault-tolerant, scalable typescript-based middleware, deployed on AWS, responsible for serving all images and videos on bloomberg.com.

• Organized and was part of panel discussion for university students in collaboration with Bloomberg Women in Tech Committee.

Worked as an IT Graduate Assistant at the office of International Education in SUNY, Buffalo.

Responsibilities:

1.Developed different modules for the International Admission and Study Abroad application.

2.Worked on integration of various database modules into one single application and automation of immigration application process to reduce human efforts.

3.Maintained International Admission website

using SQL,MS Access,VBA,HTML,CSS,Javascript.

Worked as a Full Stack Software Developer Summer Intern.

●Researched and successfully deployed first prototype of an Email Response Suggestor System, which auto suggests 3 responses to duplicate email queries received by university’s IT Help Desk leading to reduction in employee efforts by 30%.

●Implemented Google’s BERT Embedding model and improved F-1 score by fine tuning the model on Quora and New School’s historic dataset. Additionally, experimented with various machine learning algorithms to enhance the results of clustering.

●Preprocessed training data using python libraries (MBox, Numpy, Scikit-learn, NLTK). Also, utilized Gmail API and Google Cloud Platform for data mining task and developed a Chrome extension in JavaScript to attach responses to the emails.

● Worked as a Java Developer in Financial Services Domain.

● Used MVC based STRUTS framework, Hibernate for Web tier development using Eclipse IDE.

● Experience in writing complex sub queries, SQL, stored procedures, functions and triggers

● Automated one of the testing processes in IFRS system which required testers to depend on

developers

● Also responsible for Unit and Integration testing

● Was awarded ‘TCS On the Spot’ award for successfully building a prototype in limited time for

Client Presales demonstration.

Technologies using: HTML5, CSS3, Javascript, Java, SQL, GIT