Currently working in Instagram with LLM's, GBT's, and neural networks to create account level classifications and manage the the surrounding systems (measurement, data movement, deployments, etc). My teams goal is to reduce harmful interactions and content on InstagramPreviously worked in Augmented Reality (AR)

Lead of real-time machine learning applications

Risk Model, Natural Language Processing applications (NLP), Machine Learning, Spark / Hadoop / Hive , Portfolio Optimization, AWS (EMR, EC2, S3, Lambda, RDS, Redshift, etc), Big Data, Data Science• Works to program, iteratively improve, and launch machine learning applications into production • Developer of multiple data intensive applications (Python, technologies listed above, etc.)• Performs quant development, analysis, and research functions to improve existing model methodology and performance• Creates architecture for quant research products• Effectively communicates with other quants and technology teams and acts as liaison to help put machine learning / big data models into production• Has spoken at multiple conferences, including AWS and Morningstar conferences globally• Conducts exploratory analysis of new technologies and model methodologies• Part of team that won Morningstars "Great Team Award" for best team in the firm, and has won multiple Impact awards as an individual

Baldur Healthcare is compliance SaaS solution to improve contract management and timesheet tracking processes.• Led sales pitches, including one to a fortune 500 health company• Architected and deployed scalable, resilient architecture on AWS• Appeared in national industry publication on healthcare compliance• Worked alongside industry experts to build SaaS solution to solve healthcare compliance problems• Personally created website backend, website frontend, and API to interact with Android and iOS apps (Django)• Ran trial in multiple sites of mid-sized Louisiana health system• Built mobile app