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Rediet F. Frontend, Python and Machine Learning Platforms

My name is Rediet F. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Python, Front-End Development, Django, React, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Rideshare Admin Page, Cognitive Science Mannered GPT, Voiceshield, Threat Detection in Amharic Language. I am based in Addis Ababa, Ethiopia. I've successfully completed 3 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • Frontend, Python and Machine Learning Platforms

    3 years

  • Machine Learning

    2 Years

  • Python

    2 Years

  • Front-End Development

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Addis Software

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Experience Highlights

Rideshare Admin Page

I recently completed an extensive project involving the creation of an admin dashboard for a ridesharing mobile application using Next.js. This dashboard serves as the central hub for managing various aspects of the ridesharing platform, providing comprehensive tools and features to streamline operations and enhance user experience. The dashboard encompasses a range of functionalities tailored to meet the needs of both administrators and users. Key features include: Comprehensive Stats Dashboard: It provides insightful analytics and data visualization tools, empowering administrators to track key performance metrics, monitor user engagement, and make data-driven decisions to drive business growth. Rideshare Management: With intuitive rideshare management capabilities, administrators can efficiently oversee ride requests, assign drivers, and ensure smooth operations for both passengers and drivers. Offer Lists Management: The dashboard enables administrators to manage and curate offer lists, discounts, and promotions, enhancing user engagement and loyalty while driving revenue growth.

Cognitive Science Mannered GPT

I collaborated with a team of two developers to fine-tune a GPT model, aligning it with cognitive science principles by incorporating specialized prompts and responses. We trained the model to enhance its understanding and generation of content related to cognitive science. To demonstrate the model’s behavior and interactions in a practical application, we developed a chatbot using Vite.js.

Voiceshield, Threat Detection in Amharic Language

As part of a team of five, we collected, curated, and analyzed over 21,000 instances of threat and non-threat data. We employed Natural Language Processing (NLP) techniques to process the dataset and built models using CNNs, LSTMs, and a fine-tuned BBERT model to create a robust threat detection system. This project enhanced my expertise in NLP and deep learning.

Education

  • Addis Ababa University

    Bachelor of Computer Science (BCompSc) in Software Engineering

    2019-01-01-2024-01-01

Languages

  • English