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Nehmya Biruk

@nehmyabiruk

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I build production-ready LLM, RAG, and machine-learning systems for real-world prediction problems.

Ethiopia

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What I'm looking for

I'm looking to build scalable, reliable, production-ready AI/ML systems, especially LLM and RAG applications, predictive models, and time-series solutions where I can keep growing through hands-on engineering work.

I built an AI-powered developer copilot that ingests GitHub repositories, scans code errors, and delivers context-aware coding assistance through an end-to-end RAG pipeline using LLMs, embeddings, semantic search, and PostgreSQL/pgvector.

I also developed an ML monitoring platform for classification, regression, and time-series forecasting, with 10+ evaluation metrics, drift analysis, LLM-powered investigation, and a FastAPI, React, PostgreSQL, and Docker deployment.

My forecasting and risk projects include an XGBoost commodity-price model achieving R² of 0.9061 and a credit-risk classifier achieving 94% accuracy, 0.9807 ROC-AUC, and 0.9462 PR-AUC. I bring hands-on experience turning Python, SQL, machine learning, and generative AI into deployable applications.

Experience

Work history, roles, and key accomplishments

AI/ML Engineer

Nehmya Biruk

AI/ML Engineer specializing in LLM and RAG systems, machine learning, and time-series forecasting. Developed end-to-end AI/ML solutions for credit-risk prediction, commodity price forecasting, and portfolio optimization.

Education

Degrees, certifications, and relevant coursework

Kifiya Academy

Professional Training, Artificial Intelligence and Machine Learning

2025 - 2025

Completed intensive AI/ML professional training, developing practical expertise in Python, data analysis, machine learning, deep learning, NLP, feature engineering, model development, and evaluation.

Unity University

Bachelor of Science, Computer Science

2022 - 2025

Grade: 3.53 (Major CGPA 3.7)

Bachelor's degree in Computer Science, graduated with Great Distinction, with a strong foundation in software engineering, algorithms, data structures, databases, artificial intelligence, machine learning, and computer systems.