Open to full-time and internship opportunities

Emad Kalantari

AI · Machine Learning · Data Engineering · Data Science · Luxembourg

Master's graduate in Information and Computer Sciences (University of Luxembourg, Feb 2026) with hands-on experience across the full AI and data stack. Completed an 18-month Applied AI R&D internship at the University of Luxembourg building production-grade NLP and LLM-based pipelines for structured information extraction from long-form documents. Skilled in Python, SQL, and PyTorch for building reproducible end-to-end systems — spanning deep learning, computer vision, NLP pipelines, LLM and RAG workflows, data science, data analytics, and data engineering. Experienced with modern data infrastructure including ETL/ELT pipelines, cloud storage (AWS S3), and containerised deployments with Docker, as well as GPU-based model training on HPC infrastructure, CI/CD automation, BI platforms (Tableau, Power BI), and REST API data ingestion from real-world sources.

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About

Background & Focus Areas

I work across machine learning, NLP, data engineering, and data science — building robust, reproducible systems from research-grade LLM pipelines and deep learning models to production data engineering infrastructure and analytical dashboards. My work spans both research-oriented AI projects and practical applications, from HPC-distributed GPU training and cloud-hosted data lake storage to live deployed web applications.

Education

MSc Information & Computer Sciences, University of Luxembourg

Work Experience

Applied AI R&D (LLM & NLP) at Luxembourg Centre for Contemporary & Digital History, University of Luxembourg

Machine Learning

Deep learning (PyTorch), transfer learning, computer vision, object detection, sequence modeling, and model evaluation

Data Science & Analysis

Python (Pandas, NumPy), SQL, exploratory data analysis, feature engineering, XGBoost, SHAP, explainable AI, statistical modeling, and BI tools (Tableau, Power BI, Streamlit)

Data Engineering

PySpark, Apache Airflow, dbt, PostgreSQL, AWS S3, Medallion Architecture, ETL/ELT pipelines, and automated data quality checks

MLOps & DevOps

Docker, GitHub Actions CI/CD, FastAPI, pytest, automated testing, containerised deployments, and REST API backends

LLM & NLP

Hugging Face Transformers, RAG systems, ChromaDB, OpenAI & Anthropic APIs, LangChain, prompt engineering, entity–relationship extraction, coreference resolution, and end-to-end LLM extraction pipelines

HPC & Cloud

Distributed training on GPU clusters (SLURM), AWS (S3), and University of Luxembourg HPC Iris

Online Profiles

Find Me Online

GitHub

github.com/emaadkalantarii

linkedin.com/in/emad-kalantari