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Hi šŸ‘‹, I'm Eyaya Eneyew

Generative AI Engineer

An aspiring Junior Generative AI Engineer and Applied Mathematician with 8+ years of experience. Skilled in real-world Generative AI projects with training and fine-tuning LLMs, building RAG systems, prompt engineering and AI Chatbot development. Proficient in automating complex systems, data cleaning, and visualization. Committed problem-solver with strong communication and collaboration abilities, ready to take on responsibilities in Generative AI.

eyaya

  • šŸ”­ Iā€™m currently working on a Generative AI project

  • šŸ‘Æ Iā€™m looking to collaborate on a Generative AI project.

  • šŸ’¬ Ask me about anything related with Large Language Models.

  • šŸ“« How to reach me [email protected]

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Eyaya Eneyew's Projects

automatic_prompt_generation_rag icon automatic_prompt_generation_rag

This project involves automating Automatic Prompt Generation Service, Automatic Evaluation Data Generation Service and Prompt Testing and Ranking Service

contract-advisor-rag icon contract-advisor-rag

Developing a high-precision legal expert LLM application called Contract Advisor RAG. The project's goal is to create a Retrieval Augmented Generation (RAG) system for Contract Q&A, enabling users to interact with contracts by asking questions and receiving accurate, context-rich responses.

cpi_scraper icon cpi_scraper

This is a Django Dashboard for automating the Consumer Price Index data collection from around 25 African statistics agencies.

end_to_end_web3_dapps icon end_to_end_web3_dapps

The project involves creating an end-to-end Web3 decentralized application (dApp) on the Algorand Blockchain to address the challenge of securely distributing certificates to trainees and enabling them to benefit from smart contract actions.

high-precision-contract-advisor-rag icon high-precision-contract-advisor-rag

Developing a high-precision legal expert LLM application called Contract Advisor RAG. The project's goal is to create a Retrieval Augmented Generation (RAG) system for Contract Q&A, enabling users to interact with contracts by asking questions and receiving accurate, context-rich responses.

llm_finetuning_for_amharic_ad_generation icon llm_finetuning_for_amharic_ad_generation

The goal of this project was to fine-tune a Large Language Model (LLM) for generating advertisements in the Amharic language. By utilizing data from publicly available telegram channels, the pre-training phase of the model is extended, and the model is fine-tuned for ad generation based on brand information and product briefs.

materials icon materials

Bonus materials, exercises, and example projects for our Python tutorials

syntaxhighlighter icon syntaxhighlighter

SyntaxHighlighter is a fully functional self-contained code syntax highlighter developed in JavaScript.

week0_10academy icon week0_10academy

Slack Messages Analysis at 10 Academy Intensive Training Week0 Callenge

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