Responsible for scoping, design, implementation, code reviews, deployments and monitoring for Cutshort.io.
Stack used - NodeJS, Express, MongoDB, ElasticSearch, Redis and Fargate. Setup Observability and incident management policy, process and automation
Data layer engine: Developed an in-house data layer engine processing ~2M daily events, integrating Front-end and Back-end data into BigQuery via SQS and Lambda. This empowered business teams and customers with advanced analytics for informed decision-making.
Relevance algorithm: Developed a pivotal algorithm using Elasticsearch and in-house ML models to optimize candidate-job matching, significantly improving relevancy and role closures. The unparalleled relevancy garnered customer acclaim, fostering repeat customers and reliance on our distinctive match score.
Working on scalability: During our transition to microservices, identified and separated high-scale services like Email and Whatsapp, utilizing a scalable SQS and Lambda setup.
