Rehmet Yeshanew
Addis Ababa, Ethiopia
University of Gondar (2014-2019) (Electrical and Computer Engineering)
Email: ryfgmz87@gmail.com
Linkedin: visit
Solidity, Hardhat, Chai.
JavascriptSDK, Javascript.
Vue.js, React.js, Ethers.js, CSS.
Laravel, Node.js.
Ethereum
Algorand
Window
Linux
Infura
Alchemy
Docker
AWS
Heroku
Netlify
About me
Junior web3 developer with over a 2 year's professional experience as a software developer. Familiar with algorand blockchain, NFTs, building smart contracts with solidity, hardhat, deployment with alchemy and infura tools. An aspiring blockchain developer with great teamwork skills.
Education
Courses taken:
Java, C++,
Computer Networks,
Applied Mathematics,
Data structure and algorithms and others.
Thesis: " Vehicle Control and Accident Detection System".
Work Experience
Key responsibilities:
Built a company website with wordpress.
Built an e-commerce movie website with wordpress.
Built a discussion platform that can be used between a company and its client.
Built a relational database with laravel using SQL for an app that connects investors with different startup companies.
Key responsibilities:
Controlled the institution system with over a million users' information regarding their driver's licenses.
Provided customer service in person to fix issues related to their license information.
Worked on a digital online library system with HTML, CSS, and PHP technology.
Projects
This project is aimed to help 10 academy training company to generate and distribute non-fungible tokens(NFTs) as certificates that will represent the successful completion of a weekly challenge to trainees, and allow trainees with NFTs to interact with an Algorand smart contract to perform pre-defined actions
This project is aimed to create a contract between parties, based on the pre-agreed contract codified in an Ethereum smart contract, a cryptocurrency payment is executed when all the agreed conditions are met. and if not the contract state will be updated to indicate that it is out of compliance.
This project is a aimed to create a causal inference for breast cancer data to decide if a person is a malignant or benign patient. To reach the result data exploration, data visulaiztion , feature extraction and causal model has been done.
This project is aimed to create a python package to fetch lidar data, then use the data to better understand which parts of the farm are likely to produce more or less maize, so that to know whether to try a new fertilizer on part of this farm or not.