Description

I love building things. Having built several businesses and the technologies best positioning them for success, I've learned some key lessons that permeate throughout my life.

Knowing what to build is more important than knowing how to build, though both skills are necessary. As an engineer, it's easy to fool oneself into thinking that robust engineering is the main priority. However, selling something that other people want to buy is existential to the business, while what's under the hood only matters when it's desired.

Quick iterations and optimizing for learning will beat most other operating strategies when getting off the ground, from product experiments through lifestyle commitments to parenting practices. Making small changes in multiple directions at high cadence shows which paths ahead are feasible and which should be avoided.

It's all about the path of least resistance. As the technical leader, you're the tip of the spear when it comes to finding and materializing the way from where the business is to where it needs to be. You're part of the select few who can see and navigate the business goals and needs while understanding the available technological options and tradeoffs.

For the past year, I've been lucky and blessed to be A&M DIG's CTO, where practicing those lessons led to a better outcome than I could have ever imagined. We obsessively listened to our client needs, iterated quickly to build tech to address those, and proved the value of our product, our team, and our innovations!

Highlights

• Was published on Forbes on Agile Analytics in SQL , describing opinions on trends and tactics for building modern data stacks.
• Co-Authored a paper on Data Centralization Provides Operational Insights with Steven Lee. This paper provides strategic advice to Private Equity firms on how best to leverage their data to optimize their returns.
• Led the technical development of a high-margin revenue-generating business from near inception, leveraging a high versatility of engineering and business skillsets to achieve self-sustainability within a year of operations.
• Iterated business processes through several levels of automation and scale through innovative design, system architecture, and data management expertise, incorporating machine learning for best-in-class results.
• Previously co-founded and built two businesses, a vertical SaaS startup and a small consulting shop, accruing expertise in leading small engineering teams to achieve significant business goals.
• Proved expertise in software engineering at PayPal, IBM Research Labs, and Qualcomm, building Petabyte-scale processing systems, conducting cutting-edge research in distributed systems, graph databases, natural language processing, and building development tools for other engineers.