Henok T
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The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Machine Learning Engineer Preferred Title
$20.00 /hr $ 30.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.3
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 30h PST, 72h UTC
- Software Engineering Process 3.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 4.0/5
- Logical Thinking 4.0/5
- Technical Strength 4.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 4.0/5
- Documentation 3.0/5
- Desktop Linux
- Phone Android
- Tablet Android Tablet
- Member Since Apr 16, 2021
- Profile Last Updated Oct 01, 2023
- Last Activity Oct. 2, 2024, 9:14 p.m. UTC
- Location Ethiopia
Profile Summary
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
Total Experience: 4 years
Tensorflow (3E, 4Y, 1C)
3 experiences, across 4 years, with 1 coursePyTorch (2E, 3Y)
2 experiences, across 3 yearsComputer vision (3Y, 1C)
3 years of experience, with 1 coursePython (3Y)
3 years of experienceBlockchain API (2Y)
2 years of experienceData Engineering (2Y)
2 years of experienceWeb scrapers (2Y)
2 years of experienceApache Kafka (2Y)
2 years of experienceFlask (2Y)
2 years of experienceMachine learning (2Y)
2 years of experienceNumpy (2Y)
2 years of experienceJupyter (2Y)
2 years of experienceAWS (2Y)
2 years of experienceNatural language processing (1C)
1 courseDeep learning (1C)
1 courseArtificial intelligence (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 30h PST, 72h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
06 - 18
06 - 18
06 - 18
06 - 18
06 - 18
06 - 18
PST
23 - 11
23 - 11
23 - 11
23 - 11
23 - 11
23 - 11
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- Documentation
Experience
Software Engineer
Employment
Jun 2021 - Aug 2022
Sentiment Trading Company
Finance Industry
Project: Apollo18
- 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.
Software Engineer
Employment
Nov 2020 - Jan 2021
Omdena Company
Technology Industry
Project: Improving Food Security in Senegal
- 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.
Software Engineer
Internship
Mar 2019 - Jan 2021
iCog-Labs Company
Technology Industry
Project: All-in-one Facial Image Analysis
- 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.
Qualifications
Education
Addis Ababa Science and Technology University
Oct 2015 - Jan 2021
B.Sc (Computer Engineering)
10 Academy
May 2022 - Aug 2022
Machine Learning Engineering and Data Engineering
Courses