Tech stack, AI/ML

MLOps

Used in 5 places directly, plus 3 through related tools (Kubeflow, MLflow).

Projects (2)

HRIA: Romanian Artificial Intelligence Hub

AI Research Engineer, National University of Science and Technology POLITEHNICA Bucharest

From research prototype to production: training and evaluating ML/DL models, then building the CI/CD, infrastructure and MLOps workflows that run them reliably within Romania's national AI hub.

Design, train and evaluate machine-learning and deep-learning models; run experiments and iterate on architectures against research objectives.
Profile and optimise algorithms for accuracy, speed and resource efficiency, turning prototypes into clean, production-quality code.
Build CI/CD pipelines for ML workloads: automated tests, model validation, versioning and release workflows.

LLMsRAGPyTorchKubernetesGitLab CI/CD+14

Apr 2026 - Present

University ContractEU-fundedActive

Sound of Vision: audio-haptic navigation for the visually impaired

Software Developer & DevOps Engineer, PhD candidate, ACS-UPB

Real-time detection of obstacles, text, pedestrians and stairs rendered as spatial audio and wireless haptic feedback, running on a GPU-accelerated NVIDIA Jetson edge cluster orchestrated with Kubernetes and MLOps.

Detection algorithms for obstacles, text, pedestrians, sidewalks and elements of interest (stairs, doors, potholes) using deep-learning computer vision.
Spatial-audio rendering optimised so users can classify objects and navigate a scene by sound.
Designed the fully wireless haptic belt: wireless charging and ESP-NOW communication via an ESP32-C3, and the algorithms controlling haptic parameters.