Built AI solution for Deep Product Tagging targeting Fashion E-Commerce. Shut down.

Designed and built a ML-based system to screen on-boarded clients who can be related to sanctioned entities. Drawing inspiration from existing manual systems, built NLP models mimicking human-like decision making. Tech stack include Python, Dataiku.Part of the prestigious 'Morgan Stanley Technology Analyst Program', a 4-month long software engineering course taught by domain experts. Received hands-on training on a diverse range of topics including System Design, Web-Apps, Desktop-Apps, programming paradigms OOP, FP and programming in C, C++, Java, C#, Python, Scala.

Developed a Web based tool to analyze data streamed from multiple heterogeneous sources for millions of financial products. The system handles millions of records and provide a user friendly, ultra fast UI to support a variety of user-actions including real-time analytics. Tech stack comprises of : Angular, Spring, Java, ElasticSearch, Sybase DB.