Henok T.

Henok T. has a diverse work experience in various roles and industries. Henok currently works as a DataOps Engineer at Moodle since October 2022. Prior to this, they worked as an Exploit Researcher at the Information Network Security Agency from September 2021 to August 2022.

In 2021, they held two positions simultaneously. Henok was a Python Developer/ML Engineer at Trading Sentiment from June 2021 to August 2022, where they implemented a web-app for technical analysis of crypto tokens, developed an Event-Driven System for trade order streaming, and improved scrapers' speed using concurrent programming. Henok also worked as a Machine Learning Engineer at Omdena from April 2021 to June 2021, where they built an Image segmentation model for the agriculture sector.

In 2020, Henok worked as a Junior ML Engineer at Omdena from November 2020 to January 2021, contributing to improving food security and crop yield in Senegal. Henok'sresponsibilities included data engineering, building a data pipeline for efficient access to a large image dataset, and training classification models for a plant disease detector.

Henok began their professional journey as a Software Engineer Intern at iCog Labs from March 2019 to January 2021.

Henok T. completed their education history with the following chronological information:

From 2015 to 2021, Henok attended Addis Ababa Science and Technology University, where they obtained a Bachelor of Science degree in Computer Engineering and specialized in Computer Engineering.

In 2022, they attended 10 Academy for a brief period, focusing on Machine Learning, Data Engineering, and Web3.

In addition to their formal education, Henok obtained several certifications. In December 2018, they completed the "Machine Learning with Python" course through Coursera. Henok further expanded their knowledge in Python by completing the "Python for Data Science and AI" course in January 2019. Henok also completed the "An Introduction to Interactive Programming in Python (Part 1)" and "An Introduction to Interactive Programming in Python (Part 2)" courses in April 2019.

In November 2019, Henok obtained certifications in "The Arduino Platform and C Programming," "Interfacing with the Arduino," and "Introduction to the Internet of Things and Embedded Systems" through Coursera.

Continuing their learning journey, Henok completed the "Deep Learning Specialization" course in October 2019. Henok also completed various courses in Deep Learning, including "DeepLearning.AI TensorFlow Developer Specialization," "Image Compression and Generation using Variational Autoencoders in Python," and "Neural Network Visualizer Web App with Python," all in June 2020.

Furthermore, Henok obtained certifications from the NVIDIA Deep Learning Institute. In November 2020, they completed the "Fundamentals of Accelerated Computing with CUDA C/C++" and "Fundamentals of Deep Learning for Computer Vision" courses.

Henok'smost recent certification was in September 2022, where they completed the "Neo4j Fundamentals" course at Neo4j.

Overall, Henok T. has a strong educational background in Computer Engineering and has acquired various certifications in machine learning, deep learning, Python programming, and related fields.