Mark.Havens@dallasmail.com                                     972.891.9399


Technically and managerially multitalented data scientist, cloud architect, and software engineer with a background in machine learning, resource management, project management, datacenter infrastructure design, cyber security, and systems administration.


SKILLS


* Energetic, clear, confident, and empathetic communicator; exceptional writing skills
* Prolifically creative self-starter that’s able to work in teams or autonomously
* Democratic, culture-driving, servant-leadership style focus on project teams
* Software Engineering (Python, C, C++, Java, Javascript, HTML, CSS, SQL)
* Cloud (AWS: EC2, ECS, Lambda, S3, RDS; GCP: GAE, GCE, GCS, GCF, GCV; Azure)
* Systems Architecture (PowerEdge, Power Systems, ProLiant, Integrity Superdome)
* Network Architecture (Cisco: Nexus, Catalyst, NCS, ISR, ASR, PIX)
* Systems Administration (Linux, HPUX, AIX, Windows, VMWare, Docker, LXC)
* Database Administration (Oracle, DB2, MySQL, PostgreSQL, Access, SQLite)


EXPERIENCE


UTA (Data Scientist; since 2016)
* Supervised a deep learning research team for National Science Foundation to build prototype of wearable emotion detection device for the autistic and visually impaired
* Conducted deep learning research for U.S. Air Force Research Laboratory in Rome, New York that could lead to more reliable ways to detect human body language and facial expressions in the face from standard video sources
* Organized a research team for NASA to build a prototype of a wi-fi mobile disruption-tolerant ad-hoc mesh network for use on the international space station
* Apply data science, computer vision, AI, machine learning technologies to solve theoretical problems within the affective computing domain
* Motivate research teams to deliver and present high-quality work to stakeholders
* Develop prototypes in various programming languages including Python and C++
* Became proficient in utilizing various deep learning frameworks, including Tensorflow, PyTorch, and Caffe while provisioning AWS, Azure, and GCP cloud infrastructure
* Build and optimized models using machine learning techniques including feature selection, boosting, and deep learning
* Address issues in order to provide additional insights across domains, including classification, big data, machine learning, computer vision, affective computing, deep learning, and statistical modeling
* Analyze source data; worked with structured and unstructured data
* Utilize graph theory to solve grand coalition and relational problems
* Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends
* Extend in-house data with third party sources of information when needed 


Maven Shark (Principal; from 2012 to 2016)—SaaS Startup
* Full stack web development using AWS Cloud: EC2, RDS, S3; Lambda; LAMP: Linux, Apache, MySQL, PHP; HTML, CSS, Javascript; Ruby, Python, Go, Java, C, C++, C#
AT&T (Senior Principal Cloud Architect; from 2010 to 2012)
* Developed nationwide datacenter infrastructure blueprints for nationwide rollout of the iPhone’s online billing system
* Developed cloud infrastructure by directing design engineers throughout company
* Redesigned existing network architectures to meet cloud infrastructure specifications
* Provided expert advisory to peers and senior leadership; made recommendations for changes in policy, design standards, and technical direction of the company
* Provided network architecture requirements for development and production cloud infrastructure rollout
* Conducted design and implementation research for a multi-tier cloud-based SAN
* Delivered comprehensive hardware, software, and human resource cost estimations 
* Identified and corrected unplanned issues and made course corrections as needed


Verizon (Principal Systems Engineer; from 2006 to 2010)
* Provided expert advisory and technical planning, designing, and implementing of systems infrastructure that supported collaboration, issue tracking, and call routing applications used throughout the company
* Redesigned existing network architecture in order to meet dynamic project needs
* Reviewed application requirements and interviewed necessary development team members in order to make expert recommendations and design decisions that would best translate into implementation of new infrastructure
* Provided expert advisory to other architects and made recommendations for correcting design issues
* Coordinated implementation efforts by working with engineers throughout company
* Identified and corrected unplanned issues and made course corrections as needed


EARLY CAREER


Virtual Salvage (Principal; from 2001 to 2006)—Internet Startup
Sprint (Technical Solutions Consultant—UNIX; from 2000 to 2001)
Microsoft (SQL Developer & Database Analyst; 1999)
First Horizon (Principal Technology Analyst; from 1998 to 1999)
Ichthus Business Technology (Partner; from 1995 to 1998)—IT Consultancy
Texas Attorney General (Information Systems Support Specialist; 1995)
Price Village Medical Center (Systems Administrator; 1994 to 1995)
Walk’s Office Technology (Computer Technician; 1992 to 1994)


EDUCATION


PhD Fellow, Computer Science, University of Texas at Arlington; since 2016
MS, MGMT—Information Systems Security, Colorado Technical University; 2013
BS, Computer Science, University of Texas Rio Grande Valley; 2005
AAS, Computer Science Technology, Texas State Technical College; 1998


NONPROFIT


Dallas Makerspace (Principal Founder; since 2009)—EdTech Startup
Disabled American Veterans (Fundraiser; 2017-2019)
Christian Community Action (Community Coordinator; 2016)
National Science Institute (Community Development Coordinator; 2013)
Havens