I build scalable data + AI systems that deliver measurable impact.
AI/ML Engineer and PhD candidate in Data Engineering (Aalborg University & University of Athens), specializing in data-intensive LLM applications, RAG architectures, and production-scale deep learning.
My work blends research innovation with engineering rigor, delivering outcomes like 80× faster ML pipelines, 18× smaller vector indexes, and retrieval systems that power intelligent, context-aware applications.
February 2022 - Present
PhD research focusing on enabling efficient and intelligent interactive data exploration and analytics in large-scale, heterogeneous data lakes.
• Developed advanced indexing techniques (HNSW, DiskANN) for vector-based table representation learning
• Optimized table discovery and search systems for data integration and augmentation
• Published research on efficient indexing and comparative analysis of indexing techniques for table search in data lakes
• Contributed to design of expressive exploratory workflows and scalability improvements
February 2024 - May 2024
Worked on enriching the OpenAIRE knowledge graph with scholarly publication data.
• Designed and implemented robust web scraping platform for static and dynamic content
• Developed configurable XPath and regex-based extractors for affiliation metadata
• Mapped extracted data to publication IDs across heterogeneous publisher websites
• Explored ML models (transformer-based) for automated entity recognition
• Successfully extracted and linked affiliation data for majority of publisher sources
March 2020 - September 2020
Implemented smart non-linear equalizers for big data long-haul fiber optics transmission systems.
• Applied RNNs and deep learning for signal processing in optical communications
• Reduced preprocessing time from 4 hours to 3 minutes through optimization
• Data engineering, preparation, optimization, processing, and analysis
• Improved BER (Bit Error Rate) using regression-based RNN models
January 2017 - Current
Created a learning environment and facilitated network and systems courses including Python, C++ and CCNA Routing and Switching.
December 2016 - August 2018
Contributed to software development of the cutting-edge Xcelium Parallel Simulator.
• Writing verification environment scripts using Python, NLP, Bash, Linux and Git
• Verifying design function using System Verilog simulators
• Received best possible performance reviews and ranked among top engineers
June 2022 - June 2026
Aalborg University, Denmark & National and Kapodistrian University of Athens, Greece
PhD research on interactive data exploration and analytics in large-scale, heterogeneous data lakes.
Published Research:
• A Study on Efficient Indexing for Table Search in Data Lakes
• Comparative Analysis of Indexing Techniques for Table Search in Data Lakes
Academic Engagement: Participated in 5 specialized research and technical schools focused on data engineering, big data, and AI.
Industry Experience: Completed data engineering internship at OpenAIRE.
October 2018 - September 2020
National and Kapodistrian University of Athens, Greece & Institut Polytechnique de Paris, France
Grade: Excellence
Specialized in Big Data Management, Data Mining, Data Science, Machine Learning, AI, Deep Learning, and 5G Networks.
• Developed expertise in scalable architectures, predictive analytics, and neural networks
• Gained practical knowledge in distributed processing and AI-driven decision-making
• Master's thesis on machine learning for optical signal processing
• Completed hands-on projects and internship at Orange Labs
August 2014 - June 2015
Uppsala University, Sweden
One academic year exchange program covering advanced technical subjects:
• High Performance Computing and Programming
• Operating Systems I and Distributed Systems
• Computer Networks I and Computer Graphics
Collaborated with Master's and PhD students, gaining exposure to research-oriented learning
June 2011 - August 2016
An-Najah National University, Nablus, Palestine
Grade: Very Good
Comprehensive ABET-accredited degree covering algorithms, data structures, operating systems, computer architecture, networks, microprocessors, and digital systems.
• Completed one-year exchange at Uppsala University
• Finalized both software and hardware graduation projects
• Gained strong foundations in computing theory and real-world application