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Hi there šŸ‘‹

Hi, I am Abubeker Shamil! Great to see you here! šŸ‘‹

I am Abubeker Shamil, a Generative AI and software engineer. Besides, I am Systems Thinker with experience in analyzing different data and deploying them. Skilled in python, javascript, data analysis frameworks. I am committed, good communicator, willing to assume responsibility with a problem-solving mindset and collaborative attitude

  • šŸ”­ Iā€™m currently working on Generative AI and ML Projects
  • šŸŒ± Iā€™m currently learning RAG, Datalakes and AI Trends

āš” Technologies

Language :

Java Python C++ JavaScript HTML5 CSS3 MySQL

Libraries & Framework :

React Nodejs MongoDB Redis PostgreSQL Material Design NumPy Pandas

DevOps & Cloud Tools:

GitHub Pages Amazon AWS Microsoft Azure Google Cloud Docker Git Postman Vercel

šŸ“ˆ Stats

Comming Soon :) ...

Abubeker Shamil's Projects

amharic_llm_finetuning icon amharic_llm_finetuning

The project aims to enhance NLP capabilities for Amharic Language by developing a data corpus for various NLP applications. The project involves collecting, cleaning, processing data, developing APIs, and automating the pipeline.

automated_ad_storyboard_synthesis icon automated_ad_storyboard_synthesis

The objective of this challenge is to develop a machine learning framework that automates the transformation of textual advertisement descriptions into visually compelling storyboards.

azure-content icon azure-content

Please Contribute to Microsoft Official Repository https://github.com/MicrosoftDocs/azure-docs

frepo icon frepo

this is the first ever repository created by aj

kelelm_landing icon kelelm_landing

An Open Source Landingpage For VPN or Apps. Build using NextJS 12 and Tailwind v3.0

kelem_portfolio icon kelem_portfolio

Responsive and clean landing page built with Tailwind CSS and Flowbite

legal_expert_contract_advisor_using_precision_rag icon legal_expert_contract_advisor_using_precision_rag

This project aims to develop a high-precision legal expert system for contract Q&A using Retrieval-Augmented Generation (RAG). The system leverages advanced natural language processing (NLP) techniques to provide accurate and context-aware answers to questions about legal contracts and integrates a powerful language model with a custom retrieval

location_optimization_for_delivery_service_using_causal_inference icon location_optimization_for_delivery_service_using_causal_inference

Logistic Optimization with Causal Inference for Gokada, a Nigerian last-mile delivery service, aims to improve driver placement and increase delivery completions. Using Causal Inference, the project will identify factors behind unfulfilled requests and recommend optimal driver locations, enhancing efficiency and customer satisfaction.

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