DHAIRYA PARIKH

Movie Recommendation System Addressing Changes in User Preferences with Time

Journal name: Springer, Cham | Publication date: April17, 2021
With a rapid increase in the volume of data, it is extremely critical for a business to display users with personalized recommendations. The proposed work addresses the shortcomings of the content-based and collaborative filtering methods using a deep learning model that processes the input data using embedding and merge layers. The movie rating, the time it was rated, along with the current time of interaction acts as a filter through which the
recommendations of neural network pass and helps in considering the user's short-term interests

Microsoft Teams Integrations with Webex - Cisco

Presence being a critical feature for any calling solution, we need to ensure its in sync between the sync between Webex device and Microsoft Teams. Developed an interface that ensure the bidirectional presence traffic is in sync as it directly impacts the call control.

Technology Used: Apheleia, Microsoft Graph, Redis

Integrate Geolocation and ISP with Flink pipeline - Cisco

Incorporate the geolocation and ISP details fetched using an API, to the incoming packets coming from Kafka source in the most efficient way.

We as a team tried out a couple of approaches, documented them in the wiki, wherein I was focusing on the implementation of the Keyed Stream approach. We also compared these approaches and tested their efficiency considering throughput as the metric in the BTS environment and documented the findings in the Medium Blog.

Technology Used: Apache Flink, Apache Kafka

UI Based Chatbot for Context Sensitive Help - Cisco
Developed an intelligent Chatbot, using the concepts of Machine Learning and Deep NLP, which will properly resolve the customers' query related to a Cisco product called Cloud Connected Unified Communication (CCUC) by providing the required information in the most context sensitive way.
Technology Used: Python, NodeJS, FastAPI, ReactJS, MemSQL

Ansible Integration with App Microservices - NetApp

Automated the application deployment by orchestrating the rest API's using Ansible to implement functionalities such as retrieving GCP cloud volumes, creation of SAP HANA databases, create/read/update/delete SAP HANA backup policies and also assigning backup policies to the database.
Technology Used: Ansible