AMP Recover’s specialty specific, digital care management platform consists of a suite of tools to virtually guide patients through their recovery with clinically-proven content while providing care teams the critical data necessary to make real-time, evidence-based decisions to continually improve care.

Designed and implemented high throughput search algorithms and infrastructure for Hopper's Virtual Interlining products.

Data Science Lead on Menu Personalization and Dynamic Pricing. Collaborated closely with Product, Design, Engineering, the Food and Operations teams, the molecular Science team, Analytics, and executive leadership to design and implement the initial technical solutions for Menu Recommendations and Frequency-Based Discounts. Designed various pricing models in collaboration with Finance. Designed various menu recommendation algorithms in collaboration with the Science Team, Food Team, and Engineering. Designed and implemented Cibo, a production micro-service built on top of Django to serve personalized menus and prices to our customers.Technical Lead on project Blackbird, a very high priority initiative led by the CEO, to measure and improve operational efficiency. Rapidly designed and implemented a custom inventory management solution after arduously working through complex operational requirements, accounting requirements, executive reporting requirements, and intensely dirty data. Generated product requirements and evaluated inventory management solutions, workforce management solutions, and Enterprise Resource Planning solutions (ERP's). Solely responsible for the vast majority of technical implementation for a highly customized ERP integration. This included eatsa's first production micro-service which was built in Python on top of the serverless framework.Significantly improved accuracy and removed volatility in the customer-facing Order Delivery ETA provided to customers once they've purchased food through the mobile apps.Collaborated tightly with the analytics team to rapidly stand up the initial analytics infrastructure. Provided a centralized data warehouse to correlate and analyze information across a mix of proprietary and third party data sources across the engineering, marketing,

Individual contributor with a wide range of responsibilities across product development, design, and research. Built the next iteration of Anomali’s machine learning-based scoring engine, worked on targeted research projects with security analysts, vetted new data sources, and contributed to the sales team by integrating Anomali’s many data sources to give a 360 degree view of customers as they move through the sales process and use Anomali’s SaaS security platform.

Built a diverse team of product-focused Data Scientists in an effort to create various analytical models for a variety of Cyber Security applications. Implemented cross-functional collaboration to evangelize our capabilities and learn more about potential use cases across the company. Initiated a culture of healthy peer review along with multiple successful initiatives to improve the team’s security domain knowledge.Designed and contributed to a data science platform that supports analytic R&D in both batch and streaming environments at scale. This platform services a new product aimed at giving System andSecurity Administrators visibility into cloud based production environments to identify anomalous behavior indicative of security threats, misconfiguration, or inappropriate resource allocation.

Researched, designed, and implemented a full stack product to identify trends in large, high dimensional data sets using unsupervised clustering methods to aid in data exploration. Iterated closely with the customer to define their needs and determine appropriate solutions which provide a significant advantage over their old methods and redefine how they think about their specific problems. Hired, on-boarded, and led a small team of developers to support the product going forward.

Researched and implemented a wide variety of statistical models to classify and categorize malicious characteristics of malware binaries, TCP packet headers, malware domain names, and Botnet Command and Control communication patterns. Presented Clairvoyant Squirrel, a novel domain name classifier, at FloCon 2013 with Jason Trost.

Worked as a presales engineer who frequently interacted with customers to understand their needs and communicate how they would benefit from Autonomy’s solutions. Rapidly implemented full stack Proof of Concepts to demo Autonomy’s capabilities with respect to customer needs. Frequently interacted with engineers to communicate customer requirements and debug solutions. Worked for three months on a customer site to help configure, deploy, and test new Autonomy products in a large production environment.

Worked in a team to designed and implement J2EE web applications and a Java GUIWrote regular reports, documentation, and mock-ups.

Advisor: Mark Riedl, PhDWorked on the initial design and implementation of a modified planning algorithm for use with an Artificially Intelligent Story Director. Displayed my work at a poster presentation

Advisor: Mark Riedl, PhDDesigned and implemented a generalized, Java interface connecting Artificially Intelligent Agents to the server infrastructure I modifiedAdded C to Java hooks using Java's Native Interface into an online, text based universe server (LambdaMOO) for AI Agents.