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Fiona Kobayashi - Blockchain / Neurotech Software Engineer





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{"ops":[{"insert":"Fiona Kobayashi is a software engineer involved in the development of various blockchain tools in the cryptocurrency space, as well as a senior data scientist in the neurotechnology space.\n\nFiona is skilled in Solidity, Java/J2EE, JavaScript, TypeScript, Python, MATLAB, Machine Learning algorithms, particularly Convolutional Neural Networks. She is currently in the process of up-skilling in CashScript and Bitcoin Script.\n\nA list of Fiona's open source projects:\n\n"},{"attributes":{"link":"https://github.com/fifikobayashi/Debt-Covenant-Contract"},"insert":"Debt Covenant Smart Contract"},{"insert":"\nA SLP+CashSCript+Bitbox implementation that mimics a debt covenant as seen on the tv show 'Succession'. In the context of this contract, the loan is secured against a BCH holding as collateral. The debt is tokenised via SLP tokens and held by one or more creditors (SLP token holders). If the BCH USD price fell below the agreed floor price then creditors can trustlessly initiate the repayment process without the need for an intermediary nor actions from the debtor.\n\n"},{"attributes":{"link":"https://github.com/fifikobayashi/Offline-BCH-Transaction"},"insert":"Offline Bitcoin Cash Payment Mechanism"},{"insert":"\nA Python implementation of an offline Bitcoin Cash transaction that leverages the BCH compatible BitCash python libraries. The generated JSON artifacts enable a blockchain transaction to be signed offline (e.g. in an air-gapped terminal or in an area in Africa with no internet access) and subsequently broadcasted onto the blockchain via a connected device.\n\n"},{"attributes":{"link":"https://github.com/fifikobayashi/Sentiona"},"insert":"Sentiona - Beta"},{"insert":"\nA Python-based Sentiment Analytics framework that canvases cryptotwitter sentiments towards a particular blockchain project/personality. It runs on live twitter data via the Twitter API and uses an existing machine learning dataset to train the sentiment analysis model. The long term goal is to combine these qualitative outputs with quantitative analytics (e.g. fractals, elliot waves) to accurately predict market fluctuations.\n\n"},{"attributes":{"link":"https://github.com/fifikobayashi/SLP-Dividend-Contract"},"insert":"Trustless SLP Dividend Distribution"},{"insert":" - WIP\nA CashScript / JavaScript implementation of a Simple Ledger Protocol distribution mechanism that trustlessly snapshots holders of a particular SLP token at any point in time and distributes BCH funds from a crowdfund wallet to the SLP holders.\n\n"},{"attributes":{"link":"https://github.com/fifikobayashi/Bitcash/blob/master/bitcashtest.py"},"insert":"Proof of Existence ("},{"attributes":{"background":"#ffffff","link":"https://github.com/fifikobayashi/Bitcash/blob/master/bitcashtest.py"},"insert":"Python "},{"attributes":{"link":"https://github.com/fifikobayashi/Bitcash/blob/master/bitcashtest.py"},"insert":"version)"},{"insert":"\n"},{"attributes":{"link":"https://github.com/fifikobayashi/CashScript-dev/blob/master/ProofOfExistance.ts"},"insert":"Proof of Existence (CashScript+TypeScript version)"},{"insert":"\nAn onchain mechanism that proves a document's existence and ownership at some point in time by storing and verifying its hash on the blockchain.\n\n"},{"attributes":{"link":"https://github.com/fifikobayashi/ReplyScraper"},"insert":"Tweet Reply Scraper"},{"insert":"\nA Python based tool that scrapes all replies to a giveaway tweet on Twitter and outputs to a CSV file for further analysis, such as conditional formatting to filter out cheating participants (e.g. duplicate entries).\n\n"},{"attributes":{"link":"https://github.com/fifikobayashi/Ethereum-Smart-Contracts/blob/master/crowdfund.sol"},"insert":"Crowdfunding smart contract"},{"insert":" (Ethereum)\nA Solidity based smart contract to facilitate crowdfunding rounds on the Ethereum blockchain.\n"}]}

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