Backend development in AWS server-less architecture for iQueue Beds, an AI powered hospital beds optimization product.

Technologies:

Python/Java (Backend), Typescript (Frontend), GraphQL API (graphene),

SQLAlchemy, OAuth2.0 (JWT), Rest API, Micro-service architecture,

AWS Cloud (Lambda, SNS, RDS, CW, CFN, SQS, Kinesis, AppConfig, KMS, etc.),

Airflow, Angular, Postgres DB, OpenAPI and Docker.

Full stack developer for AWS Investments, a high growth product that is used to offer $3.5 billion credits to AWS users for engagement.

Technologies:

• Native AWS: Lambda, CloudWatch, CloudFormation, SQS, SNS, S3, DynamoDB, SDC, Athena and Elastic Search

• TypeScript

• JavaScript

• Python

• Ruby

• ReactJS

• Redux

• CSS

• Jest Unit testing

• Jinja cloud formation templating

• GIT

Developed a maximum entropy classifier model powered micro-service to detect and correct prepositions and determiners for a grammar tool, by training on Cambridge corpus of 1 million paragraphs. Deployed powerful Stanford coreNLP package for natural language processing (sentence splitting, POS tagging, dependency parsing and named entity recognition), with an error rate as low as 2.7% and a prediction accuracy of 91%.