Sodima Solutions began in Miami, FL during Florida International University’s Spring Hackathon. It was here I met Marcellus G., my co-founder. The following months we spent working as a pair with a focus on web services and digital marketing. As we grew into the communication space, we had the opportunity to build technology with two startups, Structurely and FarmlandFinder (previously Terva). Our team helped realize their MVPs and eventual product releases.
We participated in a number of events including the NewCo Helsinki Accelerator (Finland) and StartUp FIU Accelerator (Miami). While working with our clients we became specialists in natural language process and geospatial web applications. I was accepted into the 2017 cohort for Future Founders a fellowship for entrepreneurs and was able to grow Sodima Solutions with the guidance of my mentors and network.
Open Energy is an energy platform that allows users to trade energy at a consumer level – allowing them to save money and improve the overall sustainability of the grid. Open Energy began with a blockchain implementation of IBM’s Hyperledger technology during a hackathon in Groningen, Netherlands. Our team took home the €5,000 grand prize for prototyping this energy marketplace. After the hackathon, I opted to pursue the project further after speaking about the project's potential with Engie and Shell. Over the next year with the help of a team of engineers at Iowa State we built a web interface to visualize and configure the market for the consumer.
The mission for Open Energy is to incentivize sustainable energy. The current energy market only benefits a few parties at the expense of the masses. We believe consumer level energy transactions can solve this. In certain locations, there are solar or wind installations that produce energy cheaper than the grid. Allowing individuals the opportunity to purchase this renewable energy incentivizes the producer to purchase more clean energy installations and saves money for the buyer. There are a myriad of other benefits including lower transmission costs, more stable infrastructure, and a reduction in energy buffers for a utility.
As quantum hardware progresses, it is likely programmers will execute their programs on a quantum computer in the near future. To assist with the paradigm shift that software and hardware are going through in the quantum realm, our team built a quantum VM and visualization tool at Harvard's Hackathon. The best case scenario is a future where this tool becomes the de facto coding environment for quantum programmers. Think Code Academy for quantum.
Through superposition and entanglement, two properties in the quantum landscape, various problems within computer science have the potential for an exponential decrease in compute time. Factoring problems and unordered search are two common problems where quantum programs can shine. In our initial design we used Regetti’s quantum API to process our programs written in QUIL, an assembly language for quantum computers. After Regetti’s API went down we were forced to implement our own quantum virtual machine. The basic gates we needed to implement for a universal gate set were X, Y, Z and CNOT. The visualization tool allowed the quantum programmer a chance to visualize the measured results of the program, something other tools allow, but in a less seamless way.
Through the Future Founders Class of 2017 I met Matthew Rooda, a fellow Iowa graduate. He co-founded a company aimed at solving the issues within the swine industry, specifically the death of newly born piglets from their mother crushing them.
I came into the picture with a focus to help improve their systems through machine learning and data infrastructure. I began by architecting and implementing a system for capturing audio and creating models to identify events in the pen. As the relationship progressed I had the opportunity to create a web interface for training models, visualizing the state of the farm in real time, and administrative controls.
As an instrumentation and communication intern, I focused on design and implementation for ground control to reliably launch Falcon 9 rockets. During my time at the Cape, I assisted with the launch and (fingers crossed) landing of five rockets at LC-40 and SLC-39A, with the majority of my projects at 39A.
Launch complex 39A was famously known for the Apollo missions from 1963-72. A portion of the 39A work was for pad completion in preparation for Falcon Heavy. I also worked with the payload and Dragon install implementing an end-to-end hazard-safe communication system for pre-flight operations.
Moralit.ai is an artificially intelligent personal assistant which uses natural language processing and machine learning to perform moral decision making. By adhering to deontological principles surrounding murder, suffering, adultery, and deception, moralit.it determines the ethical permissibility of performing action requests from the user. My role was to build the machine learning processor to use general consensus sentiment on a subject to derive a moral decision. Over time the system would self correct.
Our team took home the Most Creative & Impactful award at Princeton's Hackathon. We chose to pursue this idea of instilling ethics into technology after reading about the, at the time, recent tay.ai tweets from Microsoft's bot. Tesla also was on the chop block for releasing the self-driving feature that would need to make ethical decisions in practice -- Trolley Problem.
At Palantir my role as a Deployment Strategist is to assist on the front lines to deploy our technology across various clients. I completed two internships at Palantir in New York City and London. Each experience required various technical functions and interpersonal awareness.
Palantir is widely known for their work across both the government and commercial sector by allowing clients the ability to become closer to their data. Today I am currently working as a full time Deployment Strategist in NYC.
Procter & Gamble
Working at Procter & Gamble as an intern during the summer of '14 and '15, I was able to sharpen my leadership experience and exposure to large corporate culture. I worked in Iowa City, IA as a Manufacturing Engineer and the subsequent year a Power, Controls & Information Systems Engineer. During both summers I led a number of projects to completion working with vision systems, process improvement and system installations/upgrades. I became experienced in statistical analysis and data pipelines for enterprise systems, during my tenure with P&G.
Our plant focused on hair & oral care making and packing for North America, which included well known brands such as Pantene, Crest, Scope, Old Spice and Aussie. Besides having access to off the production line product I went home each day smelling better than I had walking in that morning.