Nancy T. Smith, Ph.D. Shiresmith Publications

Qualifications

  • Quality mobile app development
  • Expertise with neural networks, genetic algorithms, data mining techniques, Bayesian nets, decision trees, pattern recognition, heuristic reasoning
  • 25 years experience in realtime embedded application development.
  • Proficient in Objective-C, JAVA, Swift, Kotlin, iOS and Android frameworks, Photoshop, C, C++
  • Some expertise with HTML, CSS, JavaScript, Node.js
  • Familiarity with Maya, VRML, three.js, Alexa skills, Google Dialogflow
  • Extremely self-motivated with the ability to inspire teammates to also strive for excellence.
  • Track record of very high quality software and extraordinary teamwork.
  • Passion for writing well-structured code and problem-solving.
  • Superior writing skills
  • Extraordinary record of acquiring and implementing new skills rapidly

Experience

HotelPlanner, West Palm Beach (1/2011-Present)

Mobile/Web App Developer
  • Published popular and highly-rated HotelPlanner app in Apple App Store, Google Play, and Amazon App Store
  • Created app designs for phone and tablet formats
  • Designed and developed Alexa skill and Google action
  • Published HTML5 website pages for mobile phones

CopperCom, Boca Raton, FL (05/2007-12/2010)

Senior Software Engineer
  • One of four engineers retained as skeleton crew to facilitate graceful shutdown of company.
  • Coded and tested features across all embedded subsystems and several server modules.
Manager, Software Architecture and Design (5/2007-12/2007)
  • Managed technical aspects of outsourced Development.

Nokia Networks, Boca Raton, FL (1/2007-5/2007)

Senior Software Engineer
  • SIP Signaling, IMS, FMC, C++, Unix environment.

CopperCom, Boca Raton, FL (9/2000-12/2006)

Team Lead of the Callp and Signaling Team
  • Responsible for embedded real-time telecom applications, including requirements, design, coding, unit testing, and integration test.
  • Created object oriented C++ environment with heavy use of inheritance, writing tens of thousands of lines of well structured code in embedded real-time Call Processing and SIP signaling.
  • Consistently led teams that prided themselves on fast delivery of high quality software, with minimal field issues.
  • Implemented full Class 5 functionality into a tandem switch
  • Played a leading role integrating Internet telephony into existing framework
  • Proactively coordinated major feature design and development among all subsystems
  • Collaborated closely with outsourcing team on major feature developmen
  • Spent 3 weeks in Bangalore to facilitate knowledge transfer
  • Delivered presentations to company
  • Educated development on requirements and design across entire platform

Siemens Stromberg Carlson, Boca Raton, FL 1993-2000

Software Engineer (1993-2000)
  • Designed and Implemented CallP, API, and redundancy software in Assembly code
  • Performed requirement research and documentation for Systems Engineering Dept.

The Psych Team, Pembroke Pines, FL 1990-1993

Director of Computer Operations
  • Managed computers and network, created reports, brochures, and books
  • Worked 30 hours per week while attending college full-time

Skills

    Programming

  • Objective C
  • JAVA
  • Swift
  • Kotlin
  • C/C++
  • Javascript
  • Node.js
  • HTML
  • CSS
  • iOS
  • Android
  • Alexa
  • DialogFlow
  • Multimedia

  • Photoshop
  • Maya
  • Illustrator
  • AI

  • Neural Networks
  • Genetic Algorithms
  • Decision Trees
  • Data Mining
  • Bayesian Nets
  • Voice User Interface
  • Telecom

  • GR303, MGCP, SIP
  • IMS, VOIP
  • CallP

Education

  • Bachelors of Computer Science, Fau (with honors) 1993
  • Masters of Computer Science, Fau 1995
  • CCNA, 2005
  • CCNP, 2006
  • Attended VOIP Conference and workshops, 2006
  • Doctorate of Computer Science, Nova Southeastern University (2012)
    • Research area: machine-learning, artificial intelligence
    • Research projects:
      • neural networks for pattern recognition of images
      • genetic algorithms for pattern matching of shapes
      • kmeans clustering for data mining of images
      • survey of SSL security issues
    • Thesis: Evolving credible facial expressions using an interactive genetic algorithm, with neural networks as a predictive fitness function.

Published Apps

  • Estimate Maker
  • Eye Train: Speed Reading
  • Who's Who: Remembering Names and Faces
  • Rhythm ID iPhone App
  • Puppy Dogs and Santa Claus and Peanut Butter Sandwiches
  • Hotelplanner - iOS and Android