• Intelligent Workflow Automation: Engineered automated pipelines to parse regulatory inquiries and identify key questions asked and use an AI-driven response drafting system leveraging internal compliance knowledge bases and LLMs to generate draft responses for regulatory inquiries.

• System Architecture & Migration: Led cross-functional technical execution for large-scale system migrations, managing the consolidation of inquiry platforms while ensuring global data integrity.

• Full-Stack Tooling: Built integrated legislative scanning tools and PDF-to-spec extraction panels using pdf.js to enhance user productivity in legal workflows.

• Full-Stack Development: Owned the end-to-end technical stack utilizing a modern React frontend supported by Python Flask REST APIs and AWS infrastructure.

• Scalable Search Solutions: Implemented and optimized enterprise-scale search functionality leveraging the SOLR platform to deliver high-performance data retrieval.

• Risk Detection Systems: Enhanced the "In-depth Review" project to detect and enforce policies against high-risk mobile applications, protecting the global Play Store ecosystem.

• Security Infrastructure: Built automated safeguard modules in C++ to optimize review resources and increase the detection of abusive applications.

• Advanced NLP Implementation: Trained BERT-based NLP models to identify app abuse patterns early through the analysis of large-scale user feedback and reviews.

• Testing Frameworks: Designed and implemented a C++ A/B testing framework to streamline agile model iterations for the Android App Risk team.

1. Designed and implemented a Jupyter Lab extension which will allow different Jupyter pods browsing a shared file system, using TypeScript and Python.

2. Improved server’s Python SDK performance by 20%.

3.Wrapped Babel.js as a plugin using Node.js to support JavaScript transpiling on server side.