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Eddie O - Python developerLD Talent logo

Eddie O

The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.

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.
AI Engineer Preferred Title
$25.00 /hr $ 30.0K /yr Hourly Rate and Yearly Salary
Overview Experiences Qualifications Vetting
Overview
Basic Summary
LD Talent History
  • Worksession Approval 100.0%
  • Average Response Time 1.2 hours
  • Average Count of Messages/Day 1.8
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 20h PST, 40h UTC
Interview Scores (3.5/5)
  • Software Engineering Process 4.0/5
  • 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 4.0/5
  • Agile Development Process 3.0/5
  • Intellectual Merit 4.0/5
  • English Communication 4.0/5
  • Documentation 3.0/5
Talent's Devices
  • Desktop Mac
  • Phone iPhone
  • Tablet iPad
General
  • Member Since Oct 17, 2023
  • Profile Last Updated Dec 05, 2023
  • Last Activity Dec. 19, 2023, 6:59 p.m. UTC
  • Location Nigeria
Profile Summary
Passionate AI Engineer with specialty in AI/ ML on AWS, TensorFlow, PyTorch, and Scikit-Learn. Seeking remote opportunities to contribute technical skills and innovation to AI projects.
Skills
Total Experience: 3 years
  • Python (4E, 3Y)

    4 experiences, across 3 years
  • Tensorflow (3E, 3Y)

    3 experiences, across 3 years
  • Typescript (2E, 2Y)

    2 experiences, across 2 years
  • Google Chrome (2E, 2Y)

    2 experiences, across 2 years
  • Google Colab (3E, 2Y)

    3 experiences, across 2 years
  • Neural Networks (2Y)

    2 years of experience
  • PyTorch (2Y)

    2 years of experience
  • Pycharm (2Y)

    2 years of experience
  • Django (2Y)

    2 years of experience
  • Django REST Framework (2Y)

    2 years of experience
  • keras (2E, 2Y)

    2 experiences, across 2 years
  • scikit-learn

Weekly Availability
Timezone Overlap with 06 - 21 per Week: 20h PST, 40h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
09 - 17
09 - 17
09 - 17
09 - 17
09 - 17
PST
02 - 10
02 - 10
02 - 10
02 - 10
02 - 10
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
  • English Communication
  • Documentation
Experience
AI Engineer
Contract
Sep 2023 - Present
Kixo Company
Research Industry
Project: Objection Detection Computer Vision Models
  • Google Chrome
  • Neural Networks
  • Google Colab
  • PyTorch
  • Python
  • I Collaborated with cross-functional teams to identify business opportunities and provide customized solutions utilizing Deep Neural Networks built using Python, PyTorch on Google Colab.
  • Responsible for developing, implementing, and maintaining machine learning models and algorithms shared via Google Chrome and built using the Google Colab.
Website Links
  • https://github.com/eddiebee
Github Links
  • https://github.com/Eddiebee/computer_vision_classification_models
AI Backend Engineer
Contract
Oct 2023 - Present
Clive Alliance Company
Utilites Industry
Project: Clive AI Assistance Integration System
  • Python
  • Tensorflow
  • Google Colab
  • Typescript
  • Responsible for developing, implementing, and maintaining and integrating machine learning models and algorithms into Clive’s system using Python, TensorFlow, Typescript and Google Colab.
  • Responsible for developing, implementing, and maintaining and integrating machine learning models and algorithms into Clive’s system using Python, TensorFlow, Typescript and Google Colab.
Website Links
  • https://github.com/eddiebee
Github Links
  • https://github.com/Eddiebee/computer_vision_classification_models
AI Engineer Intern
Contract
Aug 2022 - Nov 2023
HomeOfCodes Company
Technology Industry
Project: Passion Projects and Training
  • Pycharm
  • Django
  • Django REST Framework
  • Python
  • Tensorflow
  • keras
  • Assisted in developing AI models using Tensorflow and Keras for Plate number recognition web app deployment target.
  • Conducted experiments to optimize model performance and achieve less loss both on the training data loss and the validation data loss.
  • Contributed to data preprocessing and cleaning, improving data quality by 70% using Pycharm editior.
  • Collaborated with senior engineers on data preprocessing and model fine-tuning tasks using Python, Django, Django REST Framework and TensorFlow
Website Links
  • https://github.com/eddiebee
Github Links
  • https://github.com/Eddiebee/computer_vision_classification_models
AI Engineer
Contract
Jan 2023 - Sep 2023
Ufok Mi Company
Technology Industry
Project: Plate Number Detection System deployed to Real-time devices
  • Google Chrome
  • Google Colab
  • Tensorflow
  • Python
  • keras
  • scikit-learn
  • Typescript
  • Developed and deployed AI models using Tensorflow and Keras, achieving state-of-the results both in validation losses and models’ application in real-world problems.
  • Collaborated with cross-functional teams to deliver AI solutions meeting project requirements using Google Colab.
  • Utilized scikit-learn and Google Chrome to enhance search functionality and build traditional machine models for simpler tasks and wrote deployment scripts using Typescript.
  • Implemented and tested the random shuffle Tensorflow frontend function enabling the organizations’ vision to unify AI and enable automatic code conversion system using Google Colab.
  • Contributed to an open-source deep learning repository using TensorFlow and Python.
Website Links
  • https://github.com/eddiebee
Github Links
  • https://github.com/Eddiebee/computer_vision_classification_models
Qualifications
Education
Hope Waddell Training Institution
Jan 2011 - Jan 2017
High School Degree (Computer Science)
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