Machine learning

Projects (3)

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.

KubernetesPyTorchGitLab CI/CDPrometheusPython+5

Apr 2026 - Present

B2BActive

MoonBOT: energy-market signals and imbalance prediction

Full-Stack Developer & DevOps Engineer, QuickPower

A trading-signal and monitoring platform for the Romanian intraday and imbalance energy markets. Live market data, generation-mix outage detection, automated client reports and an ML pipeline that predicts the system imbalance for the next intervals.

Developed the Flask platform and its admin dashboard, including market-trend tables, live positions, client auto-reports and a notification centre.
Built the generation-mix outage monitor on Transelectrica data and the ENTSO-E unit-unavailability feed, with alerts in the dashboard.
Worked on the Imbalance Watch pipeline that trains and compares LightGBM, XGBoost, CatBoost, scikit-learn and neural-network models, plus a stacked ensemble.

DockerMachine learningGitHub ActionsPythonPostgreSQL+7

Oct 2026 - Present

B2BCompleted

ROSPIN-SAT-1: CubeSat on-board computer (ESA Fly Your Satellite!)

Full-Stack Developer & DevOps Engineer, Romanian Space Initiative (ROSPIN), European Space Agency

Software, infrastructure and quality strategy for a CubeSat OBC under ESA's Fly Your Satellite! Design Booster: layered RTOS firmware with CCSDS telemetry, an embedded CI/CD lattice, hardware-in-the-loop benches and telemetry anomaly detection.

Designed the layered firmware architecture and tuned FreeRTOS/Zephyr scheduling, multi-bus I/O (I²C, SPI, UART, CAN) and packet-based CCSDS TM/TC with error detection, retries and configurable timeouts.
Containerised ARM cross-compilation and built Jenkins + GitLab CI pipelines: static analysis (Cppcheck, Clang-Tidy), unit tests (Unity, Google Test), coverage (gcov/lcov), nightly builds, auto-deploy to remote benches via Ansible with rollback.
Provisioned Debian/Fedora build farms, staging networks and VPN gateways with Terraform + Ansible; hardened with image scans (Trivy/Clair), key-only SSH, SELinux/AppArmor, nftables and VPN/VLAN segmentation.