PROGRAMMING LANGUAGES AND ENVIRONMENTS
1. Full-Stack
Golang
Javascript
PHP
Python (Anaconda, Spyder, Jupyter, etc)
R and more
Browser Based Technologies (HTML, CSS, jQuery)
Bootstrap, Responsive Design Techniques
React.js
Databases (MySQL, MongoDB)
Deployment (Heroku, Git)
Computer Science fundamentals applied to JavaScript
Quality / Security Assurance (User Authentication)
Server-Side Development (Node.js, Express, MERN Stack)
2. Blockchain Development:
Hyperledger Fabric and Explorer
Public and/or Managed Blockchains
Cryptography Fundamentals
Smart Contracts (Go or JS)
Certificates
Network
Chaincode
Golang Control Structures
NodeJS SDK
Kafka OS
Raft
Crosschain apps (Moralis) using Hardhat and React
3. Data Science Skills:
Data Cleaning and Management
Exploratory and Interactive Analysis (Linear Regressions, etc. in SPSS)
Rstudio
Visualization: Tableau
Classification models and Confusion Matrix
Cross Validation, Regularization, and Model Selection
ML: Tree Models, Random Forests, Naïve Bayes, SVM, ANN
Unsupervised Learning: PCA, K-Means Clustering
Deep Leaning: Tensorflow, and AI Fundamentals
Natural Language Processing
Predictive Analytics
2023 Project #1
Using a couple of Moralis clones (Spotify and Medium) in order to stream music and publish news articles as NFTs – which in the process protects IP, complicates piracy, anonymizes authorship (if needed), and makes lying about fake news sources impossible.
IFPS work is handled with Pinata and Axios
Royalty splits are handled with Superfluid
Smart contracts authored in Solidity using Remix IDE
2023 Project #2
Analysis of norms in Soviet and post-Soviet songwriting with archives of “Pesnya goda“ (1971-present [~3800 compositions]) and Spotify API. Examination of songs’ “audio features” and algorithmic norms in order to comprehend past tendencies more objectively and suggest statistically likely trajectories for the near future. Results, therefore, benefit both academic inquiry and commercial planning.
One: New Classes, New Skills
Two: Blockchain Work as Chair of Hyperledger’s Media and Entertainment Special Interest Group
Chair of Hyperledger Special Interest Group (SIG) in the Fields of Media and Entertainment (ME)
The ME-SIG brings together technical, academic, and industry-related expertise in order to solve long-standing problems in the creation, fair distribution, and legally appropriate attribution of media assets (film, television, e-books, audiobooks, hi-res gallery or museum images, photojournalism, games, e-sports, and so forth).
The ME-SIG uses decentralized, permissioned HL blockchains to discuss and build user-friendly apps that respond to the relative disorder of permissonless environments, where artists’ interests are significantly harder to safeguard.
Following comparative analyses of the technical challenges (and hypothetical solutions) facing filmmakers, musicians, novelists, poets, photojournalists, etc., these DLT apps/dapps will be created for content-creators and their publishers, irrespective of location or socioeconomic status. This implies a focus upon UX/UI concerns over command-line tools, all in the name of access and inclusivity.
The desirability of/need for such goals was well expressed in July 2020 by Ashna Gupta: “Imagine this: a single platform where you can search for a song and uncover a record of every single player that has touched that song from inception to delivery. Every songwriter, producer, sound engineer, and everyone in between. Imagine a transparent revenue-sharing model that pays artists their fair share of royalties right away. Imagine a world of increased trustand accountability between artists and large media corporations.” The ME-SIG will aggregate and leverage the shared skills of HL members to make such hopes a reality.
Research project, 2022–
Current status of my blockchain work on a distributed curation platform. This will help to protect the copyright of Russian authors and artists, using a track-and-trace system that can also aid the licensing and monetizing of media assets that are usually stolen and/or pirated.
—metadata enhancement of two million audio files from Russia and surrounding nations. Both manual and automated work (AI)
—wireframes for media platform (music / ebooks). click to enlarge
—wireframes for artists’ site, where media is showcased for educational, curatorial, and/or business use-cases
Recent interdisciplinary festival at UCLA, bringing together artists and business experts from the field(s) of blockchain enterprise.
Three. Data Science Presentation to Non-Humanities Audience
The slides below ask whether it might be possible to predict the emotional valence of albums––at a time when that same format is decreasingly prevalent/relevant. Has, in a word, the album lost its reputation as a mode of storytelling with emotional peaks and troughs?