
Matei Filibiu
Software and MLOps Engineer using Python, Java, Docker, Backend Systems
Skills

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Work experience
Software & MLOps Engineer
Amazon Development Center • Part-time
Nov 2025 - Feb 2026 • 3 mos
The Context: Working within the automotive division, the challenge was to transition deep learning models from the research phase into a highly scalable, reproducible, and production-ready environment. The Engineering Work: I architected and implemented robust Deep Learning Operations (DLOps) pipelines. I built high-performance REST APIs using FastAPI to efficiently serve ML models for inference. To ensure seamless deployment across different environments, I fully containerized the applications using Docker. Data & Experiment Tracking: A major part of the role involved establishing strict reproducibility. I integrated MLflow for experiment tracking and DVC (Data Version Control) to manage large datasets and model versions, ensuring the entire team had a reliable source of truth. Technologies & Tools Used: Python & Bash Docker (Containerization) FastAPI (REST API Development) MLflow & DVC (Experiment & Data Tracking) Linux/Unix Environments
Freelance Python Developer
Badotherm P.I. BV • Freelance
Jul 2025 - Sep 2025 • 2 mos
The Challenge: The manufacturing pipeline was facing a critical roadblock. Industrial CNC machines were completely halting operations because essential control tags and characters (LF, CRLF) were failing to save correctly during file transfers, resulting in corrupted G-code files. The Solution: To resolve this, I developed a custom, high-integrity G-code Editor from scratch. I engineered a byte-level validation and repair system that automatically detected and restored the missing tags and control codes. The Impact: This system eliminated file corruption during system transfers, ensuring 100% data integrity and bringing the precision CNC machinery back to full operational reliability. Technologies & Tools Used: > - Python (Core Logic & Data Processing) PySide6 (Desktop GUI Development) Byte-level File I/O Operations