AI/ML Engineer & Data Scientist · PhD Candidate

Building production-ready AI infrastructure and ML systems, and using data science to turn complex data into models and insights for business impact.

• 🔬 Dual Ph.D. Candidate in Data Engineering for Data Science at Aalborg University & University of Athens
• 🏛️ Researcher at Aalborg University & ATHENA Research Center
• 🧬 Currently building a Human Digital Twin platform at Aalborg University
• 🎖️ 3× Erasmus Mundus Scholar & Marie Skłodowska-Curie PhD Fellow (DEDS)
• 📍 Based in Aalborg, Denmark

AI/ML Engineer and researcher working across the full ML lifecycle: data pipelines, feature engineering, modeling, evaluation, and MLOps. My work spans LLM and RAG systems, retrieval and vector indexing, forecasting, NLP, and signal processing, backed by industry experience at Cadence, Orange Labs, and OpenAIRE.

Key Achievements:

• ⚡ 80× faster ML data pipeline (4 hours → 3 minutes)
• 📉 18× smaller vector indexes for table search
• 📚 4 research publications, including a KDD 2026 workshop paper
• 🌐 Website: ibraheemtaha.com

• Machine Learning & AI: LLMs, RAG pipelines, agentic AI, deep learning, NLP, time-series forecasting, model evaluation
• Data Engineering: ETL/ELT pipelines, data lakes, data modeling, workflow orchestration
• MLOps & Deployment: CI/CD, API-based model serving, experiment tracking, monitoring
• Research: Table search in data lakes, vector indexing, representation learning, agentic assistants

Tech Stack: Python · C/C++ · SQL · LangChain · MLflow · Airflow · Spark · dbt · PostgreSQL · Redis · MongoDB · Elasticsearch · Docker · FastAPI · Streamlit · AWS · GCP · Linux · Git

• 🧬 Research Assistant, AI & Data Engineer @ Aalborg University (Sep 2026 - Present)
• 🔬 Researcher in Data Engineering for Data Science @ Aalborg University & ATHENA Research Center (2022 - Present)
• 📊 Data Engineer @ OpenAIRE (2024)
• 🤖 Machine Learning Engineer @ Orange Labs, France (2020)
• 🎓 Co-Founder & Instructor @ HiTechA Academy (2017 - 2021)
• 💻 Product Validation & Verification Engineer @ Cadence Design Systems (2016 - 2018)

• 🏗️ Enterprise AI Workflow Platform: a reproducible local AI platform with 16+ integrated services for modular RAG, agent workflows, vector search, monitoring, and experiment tracking
• 🌬️ Wind Turbine Power Prediction (DataOps & MLOps): automated 15-minute and 1-hour forecasting pipeline with real-time model serving and drift monitoring
• 🕸️ OpenAIRE Affiliation Harvesting: scraping pipelines for static and dynamic publisher websites to enrich the OpenAIRE knowledge graph
• 🎵 DionySongs: lyrics-driven music recommender over 57k+ songs, scaled with MinHash LSH

More on ibraheemtaha.com

• AIDEN: An Agentic Intention-Driven Assistant for Exploration and Navigation of Data Lakes. KDD 2026 Workshop SciSoc Agents & LLMs, 2026
• Table Search in Data Lakes: Methods, Indexing Techniques, and Research Challenges. In Data Engineering for Data Science, Springer, 2026
• Comparative Analysis of Indexing Techniques for Table Search in Data Lakes. International Journal of Semantic Computing, 2025
• A Study on Efficient Indexing for Table Search in Data Lakes. IEEE International Conference on Semantic Computing (ICSC), 2024

💼 Open to AI, ML & data science roles

💬 Happy to talk about AI/ML Engineering, MLOps, Data Engineering, and LLM applications