About
I've been building since I could walk; from log cabins to water-powered jet engines, and now bringing human-in-the-loop AI to small business bookkeeping at SimpleFi. Before SimpleFi, I worked to bring AGI to education at youIQ. Previously, I was at Raytheon Technologies for four years, implementing enterprise AI and helping overhaul several systems while increasing usability and modernity.
Currently based in Washington, D.C., where the local time is .
My Projects


The Intelligent Bookkeeper
Why?
- Small businesses spend on average 20hrs a week doing manual bookkeeping.
- Ideally, bookkeeping software is a black box that just works.
- With Intelligence, we can streamline these processes.
What I Did
- Product Manager & Growth Strategist. Developing MVP for customers on wait list.
- Conducted outreach to presell to over 100 customers.
- Crafted product vision & strategy alignment.
- Pitched industry experts to solicit feedback and gain exposure.
How I Grew
- Conducted in depth customer discovery to identify key functional & informational needs.
- Identified and executed a lean growth strategy.
- Rapidly learned a completely foreign market.
- Prioritized features to minimize time to market.

V2: The Interface for AGI
Why?
- AI gives us the power to digest and utilize more information than ever before.
- I've always wanted to create a real life Jarvis.
- Humanity spends far too much time on menial tasks and I will change that.
What I Did
- Chief Product Officer & Growth Strategist. Created a patent pending AI Agent ecosystem to allow integrations across your entire workflow.
- Accepted into UVA Venture Forward program.
- Conducted over 200 customer discoveries to deeply understand user needs.
How I Grew
- Learned to rapidly incorporate user feedback into product development.
- Identified and executed a lean growth strategy.
- Led team of four throughout product development lifecycle.

V1: AI in Higher Education
Why?
- In Higher Ed, info is siloed in dated applications and workflows spread across many apps.
- Ideally we'd navigate these siloes from a single interface and automate all of the manual high-volume, low-value tasks.
What I Did
- Chief Product Officer & Growth Strategist. Created AI agents to navigate outdated applications and safely congregate information.
- Interfaced with University leadership to presell and operate within all guidelines.
- Exected a pivot due to informational security barriers.
How I Grew
- Learned how to handle highly sensitive information and operate in highly secure & regulated environments.
- Learned how to navigate bureaucracy and mitigate concerns.
The B.I.L.L. Project
Why?
- Structural issues incentive metric gaming in academia with no current method of identification.
- AI is contaminating our knowledge base with false research.
What I Did
- Chief Product Officer. Created statistical and analytical methods to analyze a researcher's contribution.
- Researched current metrics to evaluate researchers, their weaknesses, and how they can be fixed.
How I Grew
- Learned to conduct large scale analyses and present results to a diverse group of stakeholders.
- Learned how to create transparent metrics to minimize potential gaming.

PowerWall GTM Strategy
Why?
- EnerCap PowerWall is a technology superior home battery system entering the North American market in 2025.
What I Did
- Led a team of 6 analysts to create a GTM Strategy, conducted daily outbriefing to COO.
- Conducted geographical optimization, competitor benchmarking, financial modeling, and price analyses.
- Presented GTM Strategy to senior leadership and investors.
How I Grew
- Learned to lead teams in a challenging environment.
- Executed in a high pressure, high velocity, low guidance environment.
- Learned to quickly learn a role and contribute.

Conversational Enterprise AI
Why?
- Employees spend 19% of their time looking for information.
- Enterprise information is highly siloed.
- AI allows us to have an answer to any enterprise specific question at our fingertips.
What I Did
- Built a conversational AI agent on enterprise knowledge that prioritized access privileges.
- Improved average answer time 720X, from 60 minutes to 5 seconds.
- Potential annual savings of $75M.
How I Grew
- Pitched RTX executives and secured $300K R&D funding to be scaled enterprise wide.
- Learned to navigate bureaucracy and develop optimal solution within stringent security and operational constraints.
- Learned how to close the hard sale.

Scorpion Works Repository
Why?
- In first week, identified a programmatic need to congregate knowledge and break down informational siloes.
- First attempt at congregating enterprise information.
What I Did
- Created a repository to contain all programmatic knowledge while prioritizing access privileges.
- Led a product development team of 4 through developement cycle and ultimately to delivery 25% ahead of schedule.
- Supported all user onboarding to ensure a seamless transition.
How I Grew
- Implemented servant leadership to lead without authority.
- Interfaced with legal, security, and EXIM departments.
- As the Product Owner, provided weekly status checks to senior leadership.

Document Intelligence
Why?
- Specific teams spent 60% of their time manually processing paperwork.
- Easily automated with ML and AI tools.
What I Did
- Created tools for two separate teams, one to automate shipping request processing and another to assist in document processing.
- Navigated project funding channels.
How I Grew
- Learned to rapidly understand a user's informational and functional needs.
- Learned to prioritize functionalities to both minimize compute cost and time to implementation.

Inner City Venture Capital
Why?
- Capital One wanted to increase access to venture capital for inner city entrepreneurs.
What I Did
- Lead a team of 4 in developement of a banking app concept.
- Wireframed a new app, based on the CapitalOne Cafe concept to increase support for inner city entrepreneurs.
How I Grew
- Learned how to construct a business case for a new product.
- First foray into app design, learned how to understand user needs.

APS Case Competition
Why?
- Atlanta Public Schools wanted to understand the factors causing variance in student performance across its district.
What I Did
- Assembled and cleaned large corpus of data.
- Conducted analytical and statistical analyses to determine the key metrics for student success.
- Crafted recommendation to improve test scores in underperforming schools.
How I Grew
- Presented all analyses and recommendation to senior leadership.
- Learned to craft a direction from a large scale analysis.
Papers
- How are tech companies, professors, and higher education institutions competing to determine the place of Artificial Intelligence in undergraduate education at U.S Universities? (In Progress)
- How has Artificial Intelligence compromised the academic integrity of scholarly publishing and its associated knowledge base? (In Progress)
- To what extent are communication skills nurtured in academic settings to prepare engineering graduates for industry?
In the News
Contact
- GitHub
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