Instagram Trust & Safety: Building product solutions to keep Instagram and Threads safe

▪️Led development and launch of multiple user facing products to battle severe harms on the platform, including first of its kind protections on Instagram to prevent sextortion scammers from identifying victims connections

▪️Led 15+ engineers and launched 5 new products to prevent users from spammers Instagram and Threads

▪️Proposed, aligned with leadership and launched integrity based friction experiences on Instagram, resulting in +25% reduction of harmful interactions. Then expanded the experience into a scalable service for other teams to use

▪️ Led data science efforts of a company-wide project in collaboration with 20+ engineers, program managers, and product managers. The project creates a new revenue stream with potentials to bring $100M+ in annual revenue

▪️ Initiated a deep-learning R&D initiative, recommended unique use-cases, convinced the VP of Data Science to allocate resources, and formed a team of researchers to develop proof of concepts

▪️ Developed a bid-price adjustment solution by optimizing for higher ROI in display CPA ads using historical data on Hadoop that increased overall ROI by 15%

▪️Designed and developed two machine learning solutions that saved $16M

▪️ Developed an AI model for comprehending relationships between medical diagnoses and procedures

▪️ Received Gold and Bronze Medal in 2018 BCBSNC Tech Olympics for designing a state of the art data sharing portal and designing an AI-Based fraud detection tool

▪️Designed and deployed a comprehensive multi-tenant AI powered HIPPA compliant clinical trial management with companion iOS and Android apps which secured contracts with major pharmaceutical companies including Pfizer;

▪️Led a team of five programmers to develop a patent-pending smart clinical trial management system

▪️Designed deep learning solutions for analyzing patient outcomes using Natural Language Processing (NLP), audio, and image processing.

▪️Designed machine learning and predictive analytics solutions for eleven projects in various industrial sectors, three of which were supported by National Science Foundation (NSF)

▪️Led a team of researchers and generated $300K revenue by designing a mobile and cloud-based PHM solution for on-demand access to assets health status; demonstrated at IMTS2014 and IMTS2016 in Chicago, IL

▪️Developed a defect detection solution (±5cm accuracy) for Alstom transit—European railway company—and incorporated the analytical engine in its cloud-based platform via a custom communication protocol