“How lovely is thy Dwelling Place, O Lord My God” (Psalm 84:1)

“Humble Thyself in the Sight of the Lord, and He Will Lift You Up.”

James 4:10 NJV
DomainTechnologyApplication
ProgrammingPythonPowerful Scripting
DartCross Platform Mobile
FlutterCross Platform Mobile
VB.NETMicrosoft.NET Ecosystem
DockerContainers
LinuxDevelopment OS
Artificial IntelligenceScikit-Learn, PandasMachine Learning
NumPy, SciPy, MatplotlibSupport Libraries
TensorFlowDeep Learning
KerasHigher Level DL
OpenAI-GymDeep Reinforcement Learning
Google DeepMindAgent-based AI
GPT-3NLP
BERTNLP
DEAPGA – GP – EP – EC
Software CraftsmanshipDesign PatternsReuse
Domain-Driven DesignOrthogonality
Test-Driven DevelopmentIterative XP
ML Design PatternsClean Coder
Clean CodeClean Architecture
SeleniumWeb Testing
PyTest Python Unit Testing
NUnit/XUnit Unit Testing
Continuous IntegrationJenkins
Continuous DeploymentGitLab
Source ControlGit, Mercurial, Subversion
Blockchain TechnologyBitcoinCryptocurrency
EthereumVirtual Machine
Hedera HashgraphConsensus-as-a-Service
TezosSecurity Token
DeFiDecentralized Finance
ToolsPycharm ProfessionalJetbrains
Visual Studio CodeMultiple
EclipseMultiple
IntelliJ Community Multiple
Jupyter NotebooksData Science
Quantum ComputationIBM QiskitAqua, Ignis, Terra, Aer
ProjectQPython
StrawberryFieldsQuantum AI
PennyLanePhotonic Quantum AI
D-WaveAdiabatic Optimization
Best PracticesDevOpsDev
AIOpsAI
DataOpsData
GitOpsGit
SecOpsSecurity
FoundationsDiscrete MathematicsCS Applications
Concrete MathematicsKnuth, Graham, Patshnik
Quantum MechanicsNouredine Zetilli
Mathematics (Scientists)Riley, Hobson, Bence
Operations ResearchHillier, Lieberman
SKILL SET

Panel 1

Projects

Genetic Algorithms and Evolutionary Computation framework is implemented with a difference – one level of the algorithm is based on quantum computing. Quantum Genetic Algorithms have been around since 1998 but I hope to make a significant breakthrough in this one.

When I first started learning TensorFlow and Keras I was advised to do a few projects to improve my abilities as an ML engineer. This portfolio consists of Python, Sonar Classification, MNIST and even a Julia project.

My undergraduate final semester project. Parallelized a neural network over 8 separate computers and did Sonar Classification with 81% accuracy. Also did some high-performance computation like calculating 8 million digits of pi. Used Java, MPI and VB.NET.

Panel 3

Open Source

The world’s most famous and easiest-to-learn machine learning toolbox in Python. Used in 5 libraries called the scikit-stack, NumPy, SciPy, Pandas, Scikit-Learn, and Matplotlib.

The open source implementation of the easiest language in the world written basically in C and some higher level libraries running on Python that act as C wrappers.

The data scientists dream – a language with the ease of Python and the performance of C++. As Julia’s its open source contributions increase, it can only grow in popularity.

A language that has great features, great industry support, and is starting to gain prominence in the job market. This is my most coveted coding language to add to my skill set.

Panel 4

Choirs

The True Goal Of Music Is To Connect One’s Soul to the Divine

Pythagoras
The John Millns Chorale
The Handel Manuel Chorus
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The MPCS 2020 (Current)