Nektarios Patlakas - Giavridis

Professional Experience

Machine Learning Engineer

iKnowHealth, Athens | March 2024 - Present

  • Serve as the Engineering Lead of the iKnowHealth AI team.
  • Design, implement, and deploy predictive DL and GenAI services in production (Python, Azure).
  • Engineered multiple microservices for on-demand predictions and calculations, forming the backbone of health-oriented web applications.
  • Developed health-oriented GenAI for one-shot classification tasks.
  • Managed containerized deployments on both edge VMs and Azure Kubernetes Service (AKS).

Machine Learning Engineer

PowerFactors, Athens | January 2022 - March 2024

  • Designed, implemented, and deployed predictive ML services in a production environment (Python, GCP).
  • Developed self-contained, object-oriented microservices for autonomous scheduling of inference and training jobs.
  • Managed Kubernetes deployments on Google Cloud Platform (GCP) for both production and testing.

Software Engineer

Satways Ltd., Athens | June 2018 – December 2021

  • Contributed to the Research and Development team on multiple EU Research Projects.
  • Deployed Deep Learning models (TensorFlow) within Java projects using DL4J.
  • Developed ML models for a path prediction tool and DL models for vehicle recognition systems (Python, TensorFlow).
  • Created Augmented Reality applications for industrial use (Android, MaxST AR SDK).

Programmer/Analyst

Hellenic Army – Center of Research and Technology, Athens | September 2017 – June 2018

  • Developed a Computer Vision project to auto-score shooting targets using Python and OpenCV.
  • Built a CRM system for managing soldiers’ personal data.

Education

MEng in Electrical and Computer Engineering

University of Patras, Patras | 2010 – 2017

Division of Automation Systems and Telecommunications, with a major in Artificial Intelligence and Computer Vision.

Master Thesis: Gait Recognition using Depth Information.

Professional Development

  • SecureFlag (2023): OWASP Top 10:2021 (Python).
  • DeepLearning.ai, Coursera (2021): AI for Medical Diagnosis (Python).
  • Johns Hopkins University, Coursera (2017): Introduction to Neurohacking in R.
  • EESTech Challenge, Patras (2017): Supervised Machine Learning European Competition.

Skills & Competencies

Python Kubernetes Azure GCP PyTorch TensorFlow OpenCV MLFlow NVIDIA Triton MySQL PostgreSQL Redis Java