derejehinsermu
Generative AI Engineer with 3+ years of experience in Machine Learning, computer Vision, and Robotics with Computer Engineering background.
Artificial Intelligence InstituteAddis Ababa, Ethiopia
Pinned Repositories
10x_scalable_datawarehouse_week-2
contract-advisor-rag
The Contract Q&A Retrieval-Augmented Generation (RAG) system is designed to provide users with an interactive way to inquire about contract documents. Inspired by Lizzy AI, this project aims to develop a system that efficiently answers questions about contracts using advanced natural language processing and retrieval-augmented generation techniques
crypto-trading-backtesting
The Crypto Trading Backtesting project aims to provide a robust, large-scale trading data pipeline designed to help users backtest cryptocurrency trading strategies. The system uses historical candlestick data to simulate trades and evaluate strategies, providing valuable insights and reducing the risk associated with trading cryptocurrencies.
gokada_delivery_optimization
Gokada, Nigeria’s leading last-mile delivery service, faces challenges with driver placement, leading to many unfulfilled delivery requests. To solve this, trainees are analyzing data to identify the causes and recommend optimal driver locations to improve order completion rates.
Linkedin_job_scraper
Linkedin_profile-scraper
NLPWarehouse
Scalable Data Warehouse for LLM Finetuning: API Design for High Throughput Data Ingestion and RAG Retrieval. This project collects, cleans, processes, and stores text/audio data for Swahili, Yoruba and Amharic. It includes web scraping, database management, API development, and automated workflows to enhance NLP capabilities for African languages.
prompt-generator
Precision RAG, developed by PromptlyTech, optimizes the use of Language Models (LLMs) across industries. This project addresses prompt engineering challenges to improve decision-making, operational efficiency, and customer experience. Key services include Automatic Prompt Generation, Evaluation Data Generation, and Prompt Testing and Ranking.
Python--Arduino-on-off-the-LED
Python Code with Arduino to Controlling LED of Arduino's on-board
redash-chatbot-add-on
This project aims to build a Redash chat add-on that extracts insights from multiple dashboards and databases using natural language. The chatbot will transform YouTube data to aid strategic decision-making and gain a competitive edge, leveraging state-of-the-art Large Language Models (LLMs) for intuitive interaction.
derejehinsermu's Repositories
derejehinsermu/contract-advisor-rag
The Contract Q&A Retrieval-Augmented Generation (RAG) system is designed to provide users with an interactive way to inquire about contract documents. Inspired by Lizzy AI, this project aims to develop a system that efficiently answers questions about contracts using advanced natural language processing and retrieval-augmented generation techniques
derejehinsermu/Linkedin_job_scraper
derejehinsermu/Linkedin_profile-scraper
derejehinsermu/Python--Arduino-on-off-the-LED
Python Code with Arduino to Controlling LED of Arduino's on-board
derejehinsermu/10x_scalable_datawarehouse_week-2
derejehinsermu/_printf
derejehinsermu/alx-pre_course
I'm now a ALX Student, this is my first repository as a full-stack engineer
derejehinsermu/Article-scrapper
derejehinsermu/crypto-trading-backtesting
The Crypto Trading Backtesting project aims to provide a robust, large-scale trading data pipeline designed to help users backtest cryptocurrency trading strategies. The system uses historical candlestick data to simulate trades and evaluate strategies, providing valuable insights and reducing the risk associated with trading cryptocurrencies.
derejehinsermu/gokada_delivery_optimization
Gokada, Nigeria’s leading last-mile delivery service, faces challenges with driver placement, leading to many unfulfilled delivery requests. To solve this, trainees are analyzing data to identify the causes and recommend optimal driver locations to improve order completion rates.
derejehinsermu/NLPWarehouse
Scalable Data Warehouse for LLM Finetuning: API Design for High Throughput Data Ingestion and RAG Retrieval. This project collects, cleans, processes, and stores text/audio data for Swahili, Yoruba and Amharic. It includes web scraping, database management, API development, and automated workflows to enhance NLP capabilities for African languages.
derejehinsermu/prompt-generator
Precision RAG, developed by PromptlyTech, optimizes the use of Language Models (LLMs) across industries. This project addresses prompt engineering challenges to improve decision-making, operational efficiency, and customer experience. Key services include Automatic Prompt Generation, Evaluation Data Generation, and Prompt Testing and Ranking.
derejehinsermu/redash-chatbot-add-on
This project aims to build a Redash chat add-on that extracts insights from multiple dashboards and databases using natural language. The chatbot will transform YouTube data to aid strategic decision-making and gain a competitive edge, leveraging state-of-the-art Large Language Models (LLMs) for intuitive interaction.
derejehinsermu/alx-system_engineering-devops
script that prints the absolute path name of the current working directory.
derejehinsermu/alx-zero_day
I'm now a ALX Student, this is my first repository as a full-stack engineer
derejehinsermu/Automated-Storyboard-Ad-Generator
derejehinsermu/BirhanuShimelis
derejehinsermu/bitcointranscripts
derejehinsermu/derejehinsermu
derejehinsermu/derejehinsermu.github.io
derejehinsermu/dynamic-rag-pipeline
derejehinsermu/ivy
The Unified AI Framework
derejehinsermu/Linear-regration-with-python
derejehinsermu/monty
derejehinsermu/myprinf
derejehinsermu/Redash-LLM-Chatbot-Analytics
derejehinsermu/telecom_user_insights_10ac_week1
derejehinsermu/testalx
derejehinsermu/timesjob_scraper
derejehinsermu/zero_day
This is my first repository as a full-stack engineer