How To Break Into Venture Capital (Book)
Being written
A full-length how-to guide on getting a job in the venture capital industry. Motivated by the relative lack of resources available during my own job search, I draw upon my experience going through the process (and pull from the resources I've used) to lay a path out for others.
The Elementalist (Novel)
Being edited
A full-length fantasy novel I wrote at the end of 2014. Currently in a seemingly perpetual state of editing. If you ask nicely I might let you read the current draft.
The Hidden Downsides of Traditional Enterprise Software (White Paper)
MVP Innovation Inc.
Co-authors: Uma Morjaria, Ryan Powell, Daniel Paredes
October 2014
An industry white paper written to explain some of the under-considered costs of traditional on-premise enterprise software to potential clients, many of whom did not reside in the IT department of their companies. Cloud-based Software-as-a-Service (SaaS) is relatively new in the world of visual merchandising, to the extent that many industry veterans we spoke to had never even heard of it.
A Local Solution to the Pursuit/Evasion Graph Problem (Academic Technical Paper)
2011 IIE National Undergraduate Student Technical Paper Competition
February 2011
The pursuit/evasion graph problem is a model of searching closed-path environments. The local method of solving the problem attempts to minimize the number of "agents" required for a solution when limited information about the graph is available. This method involves agents analyzing their immediate surroundings to progressively clear infected sections of a given graph. This study was conducted using a novel computer program that runs the algorithms in real-time and provides a graphical display of progress. This study shows that a local method can guarantee a solution but cannot easily obtain an optimal solution for arbitrary graphs.
Labor Assignment Problem Considering Skills and Preferences in a Cellular Manufacturing Environment (Academic Technical Paper)
University of Puerto Rico Mayaguez
Co-author: Viviana Cesani
September 2010
By accounting for employees' preferences as well as their skill levels, an assignment problem can be made to maximize production output as well as employee satisfaction in a cellular manufacturing environment. Specifically, the assignment problem consists of two linear programs. The first program assigns employees to bottleneck stations at each cell based on skill. The second program assigns the remaining employees to the remaining assignments based on their preferences. A cellular manufacturing environment is particularly suited to this method of assignment because of the relatively high number of bottleneck assignments and the importance of human factors in production. This study also develops a method of making suggestions for cross-training employees in order to improve the average skill and preference levels of the employees in the assignment. Finally, it incorporates the two linear programs, cross-training suggestions, and basic production scheduling into a single Microsoft Excel tool designed to allow managers to easily optimize their employee assignments.