Green leaf

Henok T - Tensorflow developer
Member since:Apr 16, 2021
Profile last updated:Sep 24, 2022
Last activity:Sept. 24, 2022, 7:28 p.m. UTC
LD Interview score: 3.7 / 5
View Details

Henok T

A Machine Learning Engineer, with a software engineering background and experience building ML-powered solutions for different industries. Experience utilizing tools like Pandas, PySpark, Tensorflow, Pytorch, Scikit-learn, Plotly, Flask, Kubernetes, and CI/CD for end-to-end Computer Vision, NLP, and Geometric Deep Learning projects, including data preparation, processing, visual analytics, modeling, deployment, and maintenance.

Skills:    ·   ·   ·   ·   ·   ·   ·    ·    ·    ·    ·    ·    · 
Weekly Availability: 72 hours
Mon06 - 1822 - 10
Tues06 - 1822 - 10
Wed06 - 1822 - 10
Thurs06 - 1822 - 10
Fri06 - 1822 - 10
Sat06 - 1822 - 10

Hourly Rate:$20.00
Experience:4 yrs
Tensorflow:3+ yrs
PyTorch:2 yrs
Computer vision:2 yrs
Python:2 yrs
Blockchain API:1+ yrs
Data Engineering:1+ yrs
Web scrapers:1+ yrs
Engineer's Devices:
Android Tablet

LD Talent Work History

Average response time:
12.0 hours
Avg count of messages / Day:
Average client satisfaction:



Sentiment Trading     Apollo18     Software Engineer     Employment
Jun 2021 - Aug 2022

  • Increased the company's data engineering systems efficiency by building and maintaining 10+ web scrapers that interact with various Blockchain APIs using Apache Airflow, Kubernetes, and Scrapy.
  • Improved price forecasting Machine Learning model accuracy by 15% using a Deep Learning architecture.
  • Successfully Implemented an Event-Driven System for handling high throughput trade orders with Apache Kafka (Faust) that reduced the amount of money lost on a trade.
  • Built an ML-powered trading technical analysis tool using Tensorflow, Flask, Dash, and MongoDB that helps the trading team make profitable decisions.

Skills used: Apache Kafka, Blockchain API, Flask, Web scrapers, Data Engineering, Machine learning, Tensorflow

Link to the project:
iCog-Labs     All-in-one Facial Image Analysis     Software Engineer     Internship
Mar 2019 - Jan 2021

  • Updated legacy Python codebases to add features and remove deprecated libraries.
  • Developed Deep Learning models to extract insight from image data using PyTorch and Tensorflow.
  • Built an in-house visualization tool for Computer Vision models.

Skills used: Tensorflow, PyTorch, Python, Computer vision

Link to the github:
Omdena     Improving Food Security in Senegal     Software Engineer     Employment
Nov 2020 - Jan 2021

  • Prepared datasets for image classification and segmentation projects utilizing AWS compute instances.
  • Trained Computer Vision models for detecting plant disease using Jupyter, Numpy, and PyTorch.
  • Resolved big data sharing issues and increased efficiency in the model-building process by utilizing MLOps tools.
  • Built a Computer Vision model for segmenting agricultural land features using satellite imagery.
  • Prepared a PyTorch and Tensorflow-based training Jupyter notebooks to help the team explore different models and parameters for two Computer Vision projects.

Skills used: Numpy, PyTorch, Jupyter, Tensorflow, AWS

Link to the project:


Addis Ababa Science and Technology University    B.Sc  (Computer Engineering)
Oct 2015 - Jan 2021
10 Academy    Machine Learning Engineering and Data Engineering 
May 2022 - Aug 2022


Deep Learning Specialization with Coursera
Mar 2019 - Oct 2019
Skills learnt: Deep learning, Computer vision, Natural language processing, Artificial intelligence, Tensorflow