Temesgen Gebreabzgi
Addis Ababa, Ethiopia
Temesgen Gebreabzgi
Addis Ababa, Ethiopia
Prompt Engineering
RAG
Langchain
Vector databases
Pytorch
Tensorflow
EDA
Scikit-learn
Matplotlib
CNN & RNN
Keras
Computer vision
Python
JavaScript
Fast API
Flask
Tailwind CSS
Streamlit
Testing, Unit Testing
Docker
CI/CD
Mlops
DVC
MLflow
Apache Airflow
Apache Kafka
About me
Junior AI Engineer skilled in Generative AI, machine learning, and software development. Proficient in Python, PyTorch, TensorFlow, and Scikit-learn. Experienced in RAG, prompt engineering, and building scalable data pipelines. Dedicated to designing innovative AI-driven software systems for impactful global applications.
Education
Projects
Develop an automated system that transforms textual descriptions of advertisement concepts and assets into detailed, visually compelling storyboards by integration of cutting-edge machine learning, natural language processing, and computer vision technologies to revolutionize the ad creation process.
Built a scalable data warehouse for Large Language Model (LLM) fine-tuning with a team of 5. Empowered Amharic language customer support and engagement using LLM capabilities. We've achieved this by fine-tuning the Llama model on a dataset of Amharic news articles scraped from various websites.
Build a reliable and scalable platform for crypto back-testing trading strategies. That leverages advanced time-series forecasting methods to predict future price trends with greater accuracy.
Developed a high-precision legal expert system for contract Q&A using RAG. The system leverages advanced NLP techniques to provide accurate and context-aware answers to questions about legal contracts.