About Christopher
ML Engineer with 4+ years of experience working with Machine Learning projects from ideation to POC development, to production deployment, monitoring and re-training. Eager to take on new projects and do great stuff together!
Italian
Native or bilingual
English
Native or bilingual
Dutch
Basic
Remote only
Primarily works remotely
Experience
- ING Wholesale BankingMachine Learning / LLM EngineerSeptember 2021 - Today (4 years and 9 months)Amsterdam, Netherlands• Led Generative AI initiative to extract actionable credit risk insights from public news, leveraging LLMs to surpass traditional NLP models in topic detection, NER, and sentiment analysis.• Designed new simplified architecture on Google Cloud Platform, using services like Vertex AI, Cloud Run and Big Query.• Coordinated a team of ML Engineers and Data Science interns for the experimentation phase.• Implementing LLMOps pipeline to automate the entire process (prompt management, CI/CD, monitoring and re-training).• Presented the project at the Google Cloud Summit Benelux 2024 and other internal conferences.
- ING – IT classMachine Learning EngineerOctober 2020 - August 2021 (10 months)Amsterdam, Netherlands• 1-year rotational program working on 4 different projects in 4 different departments of ING. Examples of projects include:• Development of a Python app to visualize the Data Lineage of the biggest ING data warehouse.• Anomaly detection in log files using unsupervised learning (DBSCAN).• Development of an NLP model to automatically categorize support tickets based on the short text description.• Built and deployed FastAPI app to expose an internal ING model as a service;• Technologies used include: Python; Scikit-learn; FastAPI; Docker; Kubernetes; Linux.
- University of Salerno – Computer Vision LabResearch and Teaching AssistantFebruary 2019 - September 2020 (1 year and 7 months)Salerno, SA, Italy• Contributed to research papers on object detection in Images, Videos and Audio, by proposing algorithms, implementing experiments and analyzing results.• Experimented with Computer Vision and Deep Learning detectors (e.g. YOLO), using OpenCV, Keras and Tensorflow.• Led final project of the Autonomous Vehicle Driving master's degree course, about recognizing 2D and 3D objects using simulated cameras and LiDARs.• Performed teaching activities for a bachelor's degree course (Logical networks), leading exercise lessons and supporting the Professors during the exams.
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Education
- Master's degree in Computer EngineeringUniversity of Salerno2019Master's degree in Computer Engineering
- Exchange period (Erasmus+ program)University of Groningen2018Exchange period (Erasmus+ program)
Skill set (37)
Categories
- Other