• Built Similar Homes Recommender System using Siamese Network Architecture with a Mean Average Precision of 47%, and created an end-to-end ML pipeline, resulting in Listing Details Pages’ Click Through Rate improvement by 13.8 % .• Parsed and normalized free form addresses found in MLS Listings packed with local conventions, arbitrarily shortened strings, abbreviations and other ambiguities into clean canonical representations, that can be indexed efficiently and queried .•… Show more • Built Similar Homes Recommender System using Siamese Network Architecture with a Mean Average Precision of 47%, and created an end-to-end ML pipeline, resulting in Listing Details Pages’ Click Through Rate improvement by 13.8 % .• Parsed and normalized free form addresses found in MLS Listings packed with local conventions, arbitrarily shortened strings, abbreviations and other ambiguities into clean canonical representations, that can be indexed efficiently and queried .• Technologies Used : Pytorch, Spark for Big Data Analytics, AWS, SQL ( MySQL ), Kafka, Apache Airflow, FastAPI Show less

Computer Networks

• Implemented HVPA Controller for Gardener, a Custom Resource Definition that manages horizontal and vertical autoscaling of Kubernetes cloud computing clusters• Technologies Used : Docker, Kubernetes, Golang, Cloud Computing frameworks, CI/CD, Gitlab

Courses taught:• Operating System (Fall 2018)• Computer Programming and Utilisation (Spring 2019)• Reinforcement Learning (Fall 2019)• Programming Paradigms (Spring 2020)

• Implementation of RMA-ID Search Engine in Universal Search Service• Implementation of Prime Cancellation Workflow in Slapshot• Implementation of automated request refund tab on refund failure• Technologies Used : Java, Object Oriented Programming OOP, Design Patterns, HTML & CSS for frontend, Version Control