Abdulkarim G Mohammed
@abdulkarimgmohammed
Python Full-stack Developer experienced in LLM Training and Data Science.
What I'm looking for
I am a dedicated Python Full-stack Developer with extensive experience in LLM training, data annotation, and data science. My journey in software engineering has been marked by a commitment to excellence and a passion for leveraging technology to solve complex problems. I have successfully contributed to various projects, including developing a banking service application and enhancing AI integration for call management systems.
My academic background in Software Engineering, with a focus on Artificial Intelligence, has equipped me with a strong foundation in machine learning and data analysis. I take pride in my ability to optimize databases and create RESTful APIs, ensuring seamless user experiences. My work has been recognized on platforms like Upwork, where I hold a Top Rated Badge, and I have consistently delivered high-quality solutions that drive productivity and efficiency.
Experience
Work history, roles, and key accomplishments
Full Stack Developer
Upwork Inc.
Apr 2022 - Present (4 years 4 months)
Worked as a remote software engineer with a Top Rated Badge, placing in the top 10% of talent on Upwork. Contributed to web development, back-end engineering, data science, and quality assurance projects.
LLM Trainer
Turing Enterprises
Feb 2024 - Present (2 years 6 months)
Fine-tuned and trained Google’s internal model of Gemini. Utilized techniques such as open and closed RLHF, Side by Side model comparison (SxS), and Data and Code cleaning.
Software Engineer
Canal+
Nov 2022 - Present (3 years 9 months)
Developed the ATCOM Call Management System with AI integration, improving agent record quality by up to 35%. Created an internal task management app called Solar Village using Node.js (Express.js), HTML/CSS/JavaScript, and MySQL.
Junior Software Engineer
Hiya General Trading PLC
Sep 2021 - Present (4 years 11 months)
Developed a high-end rental management software. This resulted in a 75% increase in productivity and reduced screen time for users.
Education
Degrees, certifications, and relevant coursework
Addis Ababa University
Bachelor of Science, Software Engineering, Artificial Intelligence Stream
Grade: 3.8/4.0
Published a research paper on a Machine Learning project focusing on the low-resource traditional language of Afan Oromo. Applied advanced ML architectures to detect hate speech from audio input, achieving over 90% accuracy in one experiment.
Availability
Location
Authorized to work in
Job categories
Skills
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