I’m Chrysostomos “Makis” Kaniouras, a Machine Learning Engineer based in Athens, Greece. I work at the intersection of research and delivery, building applied AI and computer vision systems for security and civil-protection programs—starting from problem framing, moving through rigorous evaluation, and ending with deployed, measurable solutions. Over the last years, I’ve led end-to-end ML engineering: real-time UAV pipelines for object detection, multi-object tracking and Re-ID on NVIDIA Jetson edge devices; transformer-based modeling and systematic MOT-focused evaluation; and production integration using FastAPI and SQL backends. I also enjoy building reliable MLOps foundations with monitoring and observability, and applying creative approaches like synthetic data prototyping with NVIDIA Omniverse and hybrid recommendation systems for personalized content.

Chrysostomos Makis Kaniouras

I’m Chrysostomos “Makis” Kaniouras, a Machine Learning Engineer based in Athens, Greece. I work at the intersection of research and delivery, building applied AI and computer vision systems for security and civil-protection programs—starting from problem framing, moving through rigorous evaluation, and ending with deployed, measurable solutions. Over the last years, I’ve led end-to-end ML engineering: real-time UAV pipelines for object detection, multi-object tracking and Re-ID on NVIDIA Jetson edge devices; transformer-based modeling and systematic MOT-focused evaluation; and production integration using FastAPI and SQL backends. I also enjoy building reliable MLOps foundations with monitoring and observability, and applying creative approaches like synthetic data prototyping with NVIDIA Omniverse and hybrid recommendation systems for personalized content.

Available to hire

I’m Chrysostomos “Makis” Kaniouras, a Machine Learning Engineer based in Athens, Greece. I work at the intersection of research and delivery, building applied AI and computer vision systems for security and civil-protection programs—starting from problem framing, moving through rigorous evaluation, and ending with deployed, measurable solutions.

Over the last years, I’ve led end-to-end ML engineering: real-time UAV pipelines for object detection, multi-object tracking and Re-ID on NVIDIA Jetson edge devices; transformer-based modeling and systematic MOT-focused evaluation; and production integration using FastAPI and SQL backends. I also enjoy building reliable MLOps foundations with monitoring and observability, and applying creative approaches like synthetic data prototyping with NVIDIA Omniverse and hybrid recommendation systems for personalized content.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Greek, Modern
Fluent
English
Advanced
French
Beginner

Work Experience

Machine Learning Engineer at iSense / ICCS
January 1, 2023 - January 1, 2026
Delivered applied AI and computer vision across EU-funded security and civil-protection programmes. Led independent computer vision development from problem framing through deployed systems. Built and deployed real-time UAV vision pipelines for object detection, multi-object tracking, and Re-ID on NVIDIA Jetson edge devices using transformer-based architectures (DETR, MeMOTR), served via GStreamer and containerised with Docker. Owned ML workflows end-to-end: dataset sourcing, systematic evaluation against ground truth using MOT KPIs, model fine-tuning, and integration into a Postgres-backed production backend. Added MLOps and observability with Prometheus/Grafana for infrastructure and model metrics such as inference latency, confidence, and throughput. Designed and shipped a hybrid session-based recommendation engine served through FastAPI with scheduled retraining/refresh jobs, and built a pose-estimation pipeline for emotion recognition with synthetic data prototyping in NVIDIA Omni
Machine Learning Engineer at Propulsion Analytics
January 1, 2022 - January 1, 2023
Developed transfer-learning neural networks to simulate multiple engine types, improving deployment speed and reducing development time for new engine variants. Applied pattern detection and change-point detection to operational time-series data to enhance engine performance analytics.
Data Engineer at Programize
January 1, 2021 - January 1, 2022
Built and maintained ETL pipelines and CDP integrations for international clients, including ingestion and export workflows for ActionIQ (NYC enterprise customer data platform). Implemented processing and orchestration using Spark and Luigi, extending an existing pipeline task system. Wrote and modified Terraform configurations for infrastructure provisioning and supported CI/CD with GitHub Actions and Datadog monitoring/alerting. Contributed to a greenfield .NET backend service as a secondary workstream alongside the main data platform effort.
Machine Learning Engineer (Internship) at Pobuca (formerly Sieben)
January 1, 2018 - December 31, 2018
Built and shipped a neural network for extracting and classifying email signature blocks from real-world customer data. Containerised the solution with Docker and deployed it to Azure as a running service.

Education

Diploma, Electrical & Computer Engineering (Computer Science specialization) at National Technical University of Athens (NTUA)
September 1, 2016 - January 1, 2020
Diploma (Integrated Master’s level), Electrical & Computer Engineering — Computer Science specialization at National Technical University of Athens (NTUA)
January 1, 2016 - January 1, 2020

Qualifications

AWS Innovate — Machine Learning & AI Edition
January 11, 2030 - September 3, 2026
Image Processing & DSP with MATLAB
January 11, 2030 - September 3, 2026
Algorithmic Game Theory Seminars (Agatha)
January 11, 2030 - September 3, 2026
AWS Innovate — Machine Learning & AI Edition
January 11, 2030 - September 3, 2026
Image Processing & DSP with MATLAB
January 11, 2030 - September 3, 2026
Algorithmic Game Theory Seminars (Agatha)
January 11, 2030 - September 3, 2026

Industry Experience

Software & Internet, Computers & Electronics, Professional Services, Government, Other