Florin D.
Artificial Intelligence Engineer
Experience
Feb 2024 - Present
1 year 11 monthsArtificial Intelligence Engineer
Jelvix
- Led the development of a Retrieval Augmented Generation (RAG) based chatbot using OpenAI API and FAISS, integrated with customer support infrastructure.
- Built scalable FastAPI-based ML services containerized via Docker and deployed on Kubernetes with auto-scaling and rollback strategies.
- Implemented real-time monitoring for model predictions using MLOps and Prometheus, improving visibility into model behavior.
- Created automated CI/CD pipelines for training, testing, and deployment using GitHub Actions and Airflow, enabling frequent updates with minimal manual intervention.
- Collaborated with product managers and engineers to convert customer support pain points into NLP-driven features and deliverables.
- Conducted fine-tuning experiments and prompt engineering on OpenAI models to improve task-specific accuracy across multiple domains.
- Enhanced testability and system reliability by building a robust PyTest framework with CI hooks and Docker-based test environments.
- Participate in architecture discussions to design modular ML infrastructure compatible with various cloud and on-premise deployments.
- Improved semantic search quality by optimizing vector store retrieval strategies and preprocessing logic.
- Provided mentorship and technical reviews for junior engineers working on AI APIs and backend systems.
- Tech stack: Python, OpenAI, FAISS, MLflow, FastAPI, Docker, Kubernetes, Airflow, GitHub Actions, Prometheus, PyTest.
Sep 2022 - Feb 2024
1 year 6 monthsMachine Learning Engineer
ITMAGINATION
- Built and deployed NLP pipelines for multilingual tweet classification, sentiment analysis, and named entity recognition.
- Migrated monolithic ML applications to containerized services, improving reliability and deployment flexibility.
- Fine-tuned LLAMA and GPT-based LLMs for summarizing internal reports and legal documents.
- Designed RESTful ML APIs using FastAPI, integrated into internal tools with logging, error handling, and monitoring.
- Developed Airflow pipelines for automated data processing, model training, and serving.
- Used DVC to manage datasets and ensure reproducible ML workflows across environments.
- Built document OCR and classification pipelines using YOLOv5 and OpenCV for multilingual data processing.
- Integrated system observability using Grafana dashboards and Pyroscope-based performance tracing.
- Tech stack: Python, Hugging Face, LLAMA, GPT, FastAPI, Airflow, DVC, PostgreSQL, Docker, Kubernetes, OpenCV, YOLOV5.
Jan 2020 - Sep 2022
2 years 9 monthsComputer Vision Engineer
Zitec
- Designed and deployed object detection systems using YOLOVS for industrial manufacturing environments.
- Optimized image processing pipelines with OpenCV and deployed real-time inference on NVIDIA Jetson devices using ONNX/TensorRT.
- Increased detection speed and reliability in edge environments by tuning models and improving preprocessing logic.
- Built defect detection modules for quality control in glass, textile, and tire manufacturing sectors.
- Designed automated pipelines for model updates and performance evaluation.
- Collaborated with DevOps teams to integrate metrics monitoring using Grafana and Pyroscope.
- Led code reviews and provided architecture guidance to improve code reusability and maintainability.
- Tech stack: Python, YOLOVS, OpenCV, PyTorch, TensorFlow, ONNX, TensorRT, Docker, Redis, Grafana, Pyroscope, Jetson TX2.
Sep 2016 - Dec 2019
3 years 4 monthsSoftware Engineer
Qubiz
- Developed backend services using Flask and Django for enterprise logistics and healthcare platforms.
- Integrated role-based access control and secure REST APIs using JWT/OAuth authentication.
- Built real-time dashboards with Redis and WebSockets for live logistics monitoring.
- Designed scalable database schemas in PostgreSQL and optimized complex SQL queries.
- Added AI-powered search capabilities by integrating early OpenAI APIs into existing applications.
- Wrote comprehensive unit and integration tests using PyTest, and automated builds with CI tools.
- Tech stack: Python, Flask, Django, PostgreSQL, Redis, Docker, Celery, WebSocket, PyTest, Git.
Summary
Senior AI/ML Engineer with 9+ years of experience building scalable, production-ready machine learning systems across NLP, Computer Vision, and backend engineering. Skilled in Python, API development, LLM fine-tuning, and real-time inference optimization.
Strong background in MLOps practices, including CI/CD, model monitoring, and container orchestration. Adept at transforming needs into technical solutions, working closely with cross-functional teams to deliver reliable and high-impact Al products.
Languages
English
AdvancedRomanian
IntermediateEducation
Mar 2012 - Sep 2016
University of Bucharest
Bachelor’s Degree in Computer Science · Computer Science · Bucharest, Romania
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