May 2021 – Aug 2021 · 3 mos · United States

Aug 2018 – Jun 2022 · 3 yrs 10 mos · Tempe, Arizona, USA

Jul 2017 – Aug 2018 · 1 yr 1 mo

• Built highly scalable systems to compute and serve User’s identity information, personalization content and fraud detection data. Designed and developed components using Hadoop frameworks and tools. Developed User address based fraud detection leveraging User Graph. Feature enrichment and identification pipelines for supervised ML models such as Credit and Income Modelling of Users using E-Commerce affinities and User Graph attributes. Designed and developed internal tools for change-event propagation from MySQL to ElasticSearch, MySQL cluster management, One stop tool for User escalations and production issue management. Secured User PII data in system-system interactions and Big data usage. Developed several microservices like authentication and authorization services, address management services, rate limiting and rule engine based services. Worked on ML model engineering and productionising to ML problem modelling and data science. Designed ML model for creating selective incentives to push Users to higher segments, where a segment is defined as transactions per customer,lifetime value, gross merchandise value etc.

Feb 2016 – Jun 2017 · 1 yr 4 mos

Nov 2014 – Jan 2016 · 1 yr 2 mos

Jul 2014 – Nov 2014 · 4 mos · Greater Bengaluru Area

• Enabled scaling of Sports Feed processing and extended APIs to support more sports to be served at Yahoo web scale.

May 2013 – Jun 2013 · 1 mo · Kharagpur I, India

• Community Detection in Large Networks (Citation,Social,Biological).