Scientist • Writer • Coder • Maker
I own HavDevOps, a consultancy that also offers
professional managed services specializing in DevOps centered
Tool Development, and
I also own HavData, a Software as a Service (SaaS) startup focused on developing AI-based APIs for web developers, graphics artists, game developers, illustrators, and virtually anyone else looking for low cost, original artwork, and photography. I leverage my background in deep learning systems, game theory, psychology, and neuroscience to computationally develop and augment original content.
Awarded a Ph.D. fellowship from UT Arlington in 2016, my research is focused on using data science and machine learning to computationally guess what other people are thinking and feeling just by processing images of their faces and body language.
Some people I meet find my research both fascinating and creepy. They sometimes wonder what kind of person would be interested in doing this type of research. Well, for anybody into in personality typing, I'm an ENTP like Tony Stark, Wade Wilson, Rick Sanchez C-137, and Q. That might give you an idea.
In addition to my research, I'm occasionally an aspiring science fiction author. However, I've begun to focus most of my writing on technical books and training material for the courses I teach.
I'm also the principal founder and proud founding member of Dallas Makerspace, the largest all-volunteer-run non-profit community workshop on the planet.
Machine Learning•Big Data•Affective Computing
Facial Expression Analysis•Psychology•Game Theory
Cloud Architecture•Systems Architecture•Data Center Architecture
Organizational Leadership•Team Leadership•Project Management
Information Security•Computer Networking•UNIX/Linux Administration
Because of modern advances in machine learning, we use to solve problems that were previously unsolvable. In fact, we are finding solutions to problems that we didn't know existed. The more a project needs to make sense of huge amounts of structured and unstructured data, the more it needs someone with my intuition for data. Data science is generating limitless innovation.
Companies and business units are motivated to change and adapt to new technology. The smart and agile ones leverage cloud to easily manage costs and scalability. In order for an organization to be competitive, there must be systems in place that can help keep everyone productive and on the same page. No matter how large or small the enterprise, as long as there's cloud, there will be a need for a Cloud Architect like me.
The more complicated a system, the harder it is to secure. As IoT continues, these problems will get worse. Malicious programmers write code to access or destroy sensitive data or extort money every day. There's no magic bullet. Protecting and recovering networks, devices, and programs from cyberattacks requires someone with my expertise that will evolve as dangers evolve.
Some honorable mentions from my technical history
In 2018, I supervised a deep learning research team for the National Science Foundation to build a working prototype of a wearable emotion detection device for the autistic and visualy impared.
In 2018, I conducted deep learning research for the U.S. Air Force Research Laboratory in Rome, New York that could lead to more reliable ways to detect microexpressions in the face from standard video sources.
In 2016, I organized a research team to build a prototype of a wifi mobile disruption-tolerent ad-hoc mesh network for use on the international space station.
In 2016, I was awarded a full fellowship, funded by the Department of Education, to pursue a Ph.D. in Compuer Science at the University of Texas at Arlington.
In 2013, I received an MSM in Information Security from Colorado Technical University.
In 2010, I became a senior technical architect at AT&T, where I began designing production datacenter and cloud infrastructure. My most notable project was the development of the nationwide datacenter infrastructure blueprints for the nationwide rollout of the iPhone's online billing system.
In 2006, I began working as a lead systems engineer for core customer-facing voice and internet applications.
In 2005, I earned a BS in Computer Science from what is now the University of Texas Rio Grand Valley.
In 1999, I began working as a SQL Developer & Database Analyst.
In 1998, I sold a tech startup that I began just three years earlier.
In 1998, after taking many programming courses that included mastering COBOL (in preparation for Y2K), I received an Applied Associates Degree in Computer Science Technology from Texas State Technical College.
In 1996, I began to hire the first members of my support and sales staff.
In 1995, I was hired exclusivily to provide systems support for a startup Internet Service Provider and its customers.
In 1995, I was hired by a startup hardware manufacturer to decompile and reverse engineer a disk caching feature of Microsoft DOS.
In 1995, I became the youngest intern to work in what is now the Information Technology and Security Services division of the Texas Attorney General.
In 1992, at the age of 16, I got my first hourly job as a computer technician, where I discovered the unpleasant duty of paying taxes.
In 1990, at the age of 14, I started the Lower Valley Computer Club (LVCC) in my hometown, which grew to over 100 members.
In 1989, at the age of 13, I built an 8088 IBM PC XT clone from the free parts I had collected while doing computer repair and upgrade work for various business owners at my church. I then put it to work as a BBS that remained in popular use for the next six years.
In 1984, at the age of 7, I wrote my first computer program in Applesoft BASIC that went beyond
copying from the manual:
10 PRINT "MARK"
20 GOTO 10