About

Tetevi Ekon is a proven blockchain software engineer and machine learning researcher with more than three years of experience in software development. He has graduate-level experience in machine learning research and industry experience in machine learning and software engineering. Tetevi is skilled in communication, loves working in teams, and is motivated by any opportunity to make an impact using technology. Currently, Tetevi works as a Machine Learning and Self-Driving Car Nanodegrees Project Consultant at Udacity, where he has obtained over a 90% rating answering questions and reviewing code or deep learning models’ architectures. He has worked as a frontline resource for students from all over the world taking the Self-Driving Car Nanodegree. Tetevi has worked on several projects during his tenure at Udacity, including finding lane lines, traffic sign classifier, behavioral cloning, advanced lane finding, and vehicle detection and tracking. He has also taken several courses and boot camps, including a Master's degree in Data Science and Software Engineering from Carnegie Mellon University, a machine learning boot camp from The Data Incubator, and several nanodegrees from Udacity in Self-Driving Car Engineering, Machine Learning Engineering, and Data Analysis. Tetevi's tech stack includes blockchain, software engineering, machine learning, research science, Ethereum, Solidity, smart contract, test, decentralized, Polygon, neural networks, AI, SVM, Keras, OpenCV, data scientist, Python, TensorFlow, and search. He has a relevant experience of 3.87 years. Tetevi's past experience includes working as a Lead Technician at Ekonsons Limited, where he managed a construction team on a project for oil company Shell. He had to leave early to complete his graduate studies. Tetevi is a highly skilled and motivated software engineer and machine learning researcher who is passionate about using technology to make an impact. He is an excellent team player and communicator and has a proven track record of delivering high-quality work.