I'm a Senior Software Engineer and Tech Lead at Abnormal AI working at the intersection of AI X Cyber Security. My work includes leading teams, architecting systems and developing highly scalable, secure, fault-tolerant software platforms. I work with Kubernetes, Envoy, Golang, Python and many AWS services.
Technical lead for SliceIT, a SOA based platform to create no-code analytics web apps on top of IAP. SliceIT creates configuration based data analytics slicers and brings down their development time from 180 to 15 days.
Part of Data Driven Analytics team developing Instant Analytics Platform (IAP), a distributed data analytics platform that aims to provide sub-second analytics and intuitive visualization capabilities over millions of records to WW Ops customers.
It is built from open source technologies like Apache Kylin, Hbase, Hive and native AWS technologies like EMR, Privatelink etc. It is becoming a one-stop shop for all big data analytics needs of finance teams at Amazon.
The platform has the capability to onboard different datasets from multiple data sources (ElasticSearch, Kylin, DynamoDB, RDS etc) and provide analytics and reporting functionality on top of it by creating full stack web applications (React web apps, Superset dashboards etc) for each dataset with minimal code changes.
1. Engineered 2 internal applications using Scikit-learn, Keras, GDB, and Selenium in Python which lowered debugging time in native Tizen applications by 40%.
2. Became Module owner of Genlist widget and Ecore of EFL and improved performance of native apps.
4. Cleared 'Advanced Data Structures' examination internal to Samsung.
Project: App TV-Tizen
1. Created an MVC architecture based Android app for interaction between Smartphones and TVs using SmartView SDK.
2. Used advanced architectural principles and Test-driven development for the app (Gaming Controls).
