https://sydneycare.ai/( Ranked No. 1 healthcare app in March 2020 ) 1. Microservices : - Developed and Deployed the REST API's that handle orders, payments and pricing for different telehealth services- Introduced multi-tenancy to support other applications outside of Sydneycare- Set-up API monitoring and the dashboard for all the API's of the platform- Introduced caching in the insurance API using Redis2. Batch Processing :• Developed automated… Show more https://sydneycare.ai/( Ranked No. 1 healthcare app in March 2020 ) 1. Microservices : - Developed and Deployed the REST API's that handle orders, payments and pricing for different telehealth services- Introduced multi-tenancy to support other applications outside of Sydneycare- Set-up API monitoring and the dashboard for all the API's of the platform- Introduced caching in the insurance API using Redis2. Batch Processing :• Developed automated claims processing data pipelines by extracting data from multiple sources• Built distributed jobs to process data efficiently• Setup schedules and deployed the batch processes• Automated the collections and refunds process Show less

- Proposed the idea and use cases for sentiment analysis in chatbots- Built different sentiment engines using AWS comprehend, Stanford NLP, Spacy and Open NLP. - Built a templating engine for FAQ bots on AWS lambda- Developed a transit retrieval system for the Chi-transit bot. - Developed and deployed NodeJS servers on the cloud for goal-oriented chatbots.

- Put forward two projects, "Automated timetable planner" and "Result analysis tool", that would save around 300 man-hours for the college. - Was a key member of the team that developed and deployed these projects. - The core of the projects was built in Java. We used python for scraping and mongo for storage.