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Amanuel M. AI, Machine Learning and Data Science Platforms

My name is Amanuel M. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Python, TensorFlow, OpenCV, Machine Learning Model, etc.. I hold a degree in Master of Science (MS), Bachelor's degree. Some of the notable projects I've worked on include: License Plate Detection & Tracking with YOLOv8 + OCR, OCR-Character-Recognition-System-For-Handwritten, Face Detection Attendance System using Flask API, Potato Disease Classifier using DL, Image-generation-using-DALL-E-JPG, etc.. I am based in Gondar, Ethiopia. I've successfully completed 27 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • AI, Machine Learning and Data Science Platforms

    3 years

  • Computer Vision

    2 Years

  • Python

    1 Year

  • TensorFlow

    1 Year

Additional skills

  • Computer Vision
  • Python
  • TensorFlow
  • OpenCV
  • Machine Learning Model
  • Deep Learning
  • Machine Learning
  • Data Science
  • Convolutional Neural Network
  • Artificial Neural Network
  • Recurrent Neural Network
  • Artificial Intelligence
  • Machine Learning Framework
  • Deep Learning Modeling
  • Deep Learning Framework

Direct hire

Potentially possible

Previous Company

Debre Tabor University

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Experience Highlights

License Plate Detection & Tracking with YOLOv8 + OCR

Real-time vehicle and license plate detection system using YOLOv8, SORT tracking, and EasyOCR. Detects vehicles, tracks them with unique IDs, extracts plate numbers, and outputs annotated videos and C

OCR-Character-Recognition-System-For-Handwritten

This Python OCR system recognizes handwritten letters (A-Z) and digits (0-9) using a PyTorch model. Features a drawing canvas and image upload, with a ResNet18 classifier for 37x37 grayscale inputs. T

Face Detection Attendance System using Flask API | UI and SQLite DB

Face Attendance System automates attendance tracking using IP cameras with Python (Flask + OpenCV). Detects faces in real-time with confidence scoring, storing records in SQLite. Features a web interf

Potato Disease Classifier using DL|ML and Django API | HTML | CSS

Revolutionize farming with our AI Potato Disease Detector! Upload a leaf image and get an instant, accurate diagnosis. Built with Django, this web app uses a custom-trained ResNet18 model for precise

Image-generation-using-DALL-E-JPG

I generated images using OpenAI's DALL-E model, which produces visuals from text prompts. Starting with descriptive prompts that captured themes like "envious" or "encouraging," I included visual deta

Education

  • Addis ababa Science and Technology University

    Master of Science (MS) in Mechatronics/Robotics Engineering

    2019-01-01-2022-01-01

  • Hawassa University

    Bachelor's degree in Electromechanical Engineering

    2013-01-01-2018-01-01

Languages

  • Amharic (Fluent)
  • English (Fluent)