• Design, implement and operate growth notification platform’s most scalable, Tier-0 microservices using Kubernetes, AWS, Java for sending most relevant push notifications to millions of Snapchat users every day. • Cross team collaboration with feature teams and product managers to prioritize and deliver projects every quarter for incr. growth in Snapchat’s Daily Active Users with minimal user annoyance. • Own and manage Snapchat's email channel infrastructure on GCP, leveraging Kubernetes for scalable and reliable delivery of account, security, and marketing emails to all the users of Snapchat every day. • Lead migration to new self-serve growth notification system, a Golang backend, which allows creating, managing and executing codeless notification campaigns through expression-based business logic.

• Engineered microservices for Azure Machine Learning Pipeline platform using Kubernetes, Azure and C#. Net for scalable and reliable job orchestration of ML jobs to train, deploy and serve Azure Machine Learning models. • Led automation effort for end to end provisioning of Azure Machine Learning Pipeline service components, using Kubernetes and YAML configs, in new public and secure cloud regions. • Architected Python SDKs, APIs, Notebooks to enable Data Scientists for creating distributed azure machine learning pipelines to standardize machine learning operations (MLOps) and scalable team collaboration.

• Programmed python script to merge data sets of IOS applications from two different time frames, based on their reviews, ratings, usage etc. • Created a python program to display different visualizations to highlight major trends in the merged dataset.

• Engineered a troubleshooting web dashboard using Spring, React, JDBC to enable Maas360 support team with relevant data, potential causes and drill down resolution steps to take based on chosen cause and issue. • Built pattern matching for ELK monitoring tool to scrape Maas360 logs and aggregate errors across time frames.