“Be ashamed to die until you have won some victory for humanity.”
— Horace Mann

I find meaning in innovation, mentoring, or solving complex real-world problems.

Professional Overview

I’m Nikos Sakellariou, an AI & FinTech Engineer with a deep passion for artificial intelligence, data systems, and product development.
Currently, I’m based in Dubai, UAE, working at Rapyd.net, one of the world’s leading FinTech companies. My focus lies in building reliable, data-driven backend systems for payment reconciliation, billing, and settlement, while leveraging AI to improve performance and automation.

Previously, I served as Head of IT and co-founder at NeuroHive.eu, where I led research and development on deep learning algorithms that enhance agricultural productivity — part of which was later published in Computers and Electronics in Agriculture (Elsevier).

Earlier, as CTO at In4Capital.com, I directed the redesign of a FinTech platform that connects startups and investors. The effort reduced development costs by 80% and boosted user acquisition by 400%.

My experience also includes several European Horizon 2020 and Aspire2050 research projects, where I worked on deep learning, data fusion, and big data systems for autonomous vehicles and industrial anomaly detection.

Research & Technical Contributions

Throughout my career, I’ve designed and implemented:

  • Machine learning and statistical models for anomaly detection in industrial machinery and autonomous vehicles
  • Deep learning architectures for multimodal UAV detection using data from optical, thermal, and radar sensors
  • Big data architectures for real-time sensor data retrieval from fleets of autonomous vehicles
  • Cybersecurity dashboards visualizing the operational health of autonomous systems
  • AI algorithms for diagnosing Wi-Fi (IEEE 802.11) performance issues
  • IoT protocols and systems for environmental pollution monitoring

Publications

  • A deep learning algorithm predicts milk yield and production stage of dairy cows utilizing ultrasound echotexture analysis — Computers and Electronics in Agriculture, 2022
  • Deep Learning on Multi-Sensor Data for Counter-UAV Applications — A Systematic Review — Sensors, 2019
  • On the Employment of Machine Learning Techniques for Troubleshooting WiFi Networks — IEEE CCNC, 2019

See more of my research on Google Scholar.

Skills Snapshot

Languages & Tools: Python, SQL, Sanic, Flask, TensorFlow, scikit-learn, Pandas, NumPy, MySQL, PostgreSQL, MongoDB, AWS, Docker, Git, Spark, CI/CD
Domains: FinTech, AI/ML, Data Engineering, Payment Systems, Research & Development
Soft Skills: Product Management, Leadership, Agile Methods, Technical Writing, Communication

Languages

  • Greek (Native)
  • English (Full Professional Proficiency)
  • French (Basic)

Let’s Connect

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