We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Geleta M. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, PyTorch, Python, Keras, Deep Learning, etc.. I hold a degree in Bachelor of Engineering (BEng), Master of Science (MS). Some of the notable projects I've worked on include: AI Chatbot, Image Captioning, Unifying Datapipeline for Object Detection - pytorch, Surface defect segmentation. I am based in Metu, Ethiopia. I've successfully completed 4 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
2 years
1 Year
1 Year
1 Year
Potentially possible
NPU
Chatbot for ERP systems and websites. It help user's use the new system
Image captioning using deep learning: - Resnet 101 is used as a feature extractor, - The final feature will be used as a visual representation - LSTM and Transformer are used alternatively for langua
The project contains a data pipeline for coco, visual genome, txt format and yolo v1 format.
The project aims at pixel-level surface defect segmentation. The experiment was carried out for DAGM and MT defect datasets. The source code contains an additional data pipeline for NEUg ds and AITEX
Bachelor of Engineering (BEng) in Mechanical Design Manufacturing and Automation
2017-01-01-2021-01-01
Master of Science (MS) in Computer science
2021-01-01-2024-01-01