Open to opportunities

Selam Ayehubirhan

@selamayehubirhan

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Senior Machine Learning Engineer with expertise in model deployment.

Ethiopia

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What I'm looking for

I am looking for a role that offers opportunities for growth and innovation in machine learning.

I am a Senior Machine Learning Engineer with over three years of experience in implementing machine learning algorithms. My expertise lies in programming languages such as Python, SQL, Postgres, and C++. I excel in data preprocessing, feature engineering, and model training, with a strong focus on optimizing and deploying models in production environments.

At Kifiya Financial Technology, I designed and deployed machine learning pipelines using Scikit-learn and Neural Networks for credit scoring systems. I have a proven track record of conducting data preprocessing and feature engineering using tools like Pandas and NumPy, and I am skilled in training, tracking, and versioning ML models with TensorFlow and MLflow for reproducibility and performance comparison. My experience also includes evaluating model performance using cross-validation and key metrics such as F1 score, precision, and ROC-AUC.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Kifiya Financial Technology

Jan 2022 - Present (3 years 5 months)

Designed and deployed machine learning pipelines using Scikit-learn, Neural networks and Airflow for Credit scoring systems. Conducted data preprocessing and feature engineering using pandas, NumPy, and Feast.

scikit learn Neural Networks Airflow Pandas NumPy Feast TensorFlow MLFlow

AI Trainer

Ubuntumatvazi

Jan 2024 - Present (1 year 5 months)

Fine-tuned large language models (LLMs) to improve prompt understanding and response quality. Enhanced RLHF (Reinforcement Learning with Human Feedback) workflows using Proximal Policy Optimization (PPO).

Large Language Models Proximal Policy Optimization (PPO)AI Training Model Fine Tuning

Data Analyst

BGI Ethiopia

Jan 2021 - Present (4 years 5 months)

Extracted data on spreadsheets and drove analysis. Visualized and interpreted the profit and loss of sales.

Data Extraction Data Visualization

Education

Degrees, certifications, and relevant coursework

10 ACADEMY

Machine Learning, Machine Learning

Completed a comprehensive program in Machine Learning, Data Engineering, and Web3 Engineering. Gained expertise in implementing machine learning algorithms and deploying models in production environments.

KOTEBE METROPOLITAN UNIVERSITY

Bachelor in Computer Science, Computer Science

Grade: 3.33/4.0

Studied the fundamentals of computer science, including programming languages, data structures, and algorithms. Achieved a strong academic record with a GPA of 3.33/4.0.