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Schedule Interview NowMy 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.
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Debre Tabor University
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
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 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
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
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
Master of Science (MS) in Mechatronics/Robotics Engineering
2019-01-01-2022-01-01
Bachelor's degree in Electromechanical Engineering
2013-01-01-2018-01-01