Building Intelligent Systems as an Agentic AI Engineer
I am Raphael Montico, specializing in AI Engineering, Cloud Architecture, and DevOps. Based in Chambéry, France, I transform complex data into cutting-edge, scalable AI solutions.
class AgenticEngineer:
def __init__(self):
self.name = "Raphael Montico"
self.role = "AI Specialist"
self.focus = ["GenAI", "MLOps", "Cloud"]
def build_solution(self, problem):
return "Innovative AI Architecture"
# Deploying intelligence globally...About Me
A brief introduction to who I am and what drives me.
Born in 1982 and based in the beautiful region of Chambéry-en-Savoie, France, I am a dedicated Agentic AI Engineer with a rich background in IT infrastructure and systems administration.
My journey spans from hands-on network administration to architecting advanced Machine Learning operations and Generative AI workflows in the cloud.
I value autonomy in solving complex technical problems, active listening, teamwork, and rigorous documentation. I am deeply sensitive to security, traceability, and algorithmic ethics in every project I undertake.
10+
Years IT Experience
3
Major Cloud Platforms
100%
Committed to Quality
Technical Expertise
A comprehensive overview of my technical skills and toolstack.
AI & Machine Learning
Cloud & DevOps
MLOps & Data
Infrastructure
Professional Experience
Citrix Consultant
Hospice Général - Geneva
Windows and Citrix Systems Engineer
Record Automatic Doors - Chambéry
Windows and Citrix Systems Administrator
Geodis - Chambéry
Various IT & Systems Roles
Espace Malraux National Theater, Info Solutions 2S, Protiel, Starnight
Education
Master's Degree in AI Engineering
Open Classrooms
Professional Bachelor's Degree in Enterprise Systems and Network Administration
IUT Tétras Annecy
Level 3 in IT Maintenance and Support Management
CESI Grenoble
Baccalaureate in Industrial Science and Technology
Lycée Paul Héroult, St Jean de Maurienne
Featured Projects
A selection of professional and training projects demonstrating my capabilities.
Professional Projects
RaphaelMontico.fr ChatBots
A suite of AI Chatbots deployed across multiple cloud environments, integrating modern UI with vector databases and LLMs acting on dynamic CV data.
Azure: Azure Function, Blob Storage, Pulumi.
GCP: Gemini 2.0 Flash, Firestore Vector Store, Cloud Functions, Vertex AI, Pulumi.
PulpFiction.fr
An application allowing users to browse a curated collection of pulp fiction magazines and collectibles.
CodeParrainage.ovh & TneXa.fr
Web properties involving dynamic automated static site generation, utilizing HTML/CSS logic combined with database integration.
Training Projects
Image Segmentation
Implemented using `segformer_b3_clothes`, Hugging Face transformers, Matplotlib, and Pillow.
Building Energy Prediction
Linear Regression models predicting data consumption. Utilized sklearn pipelines, GridSearch, and various regression models (SVR, RandomForest).
HR Analytics
Advanced classification modeling with handling of imbalanced datasets using SMOTE, XGBoost, CatBoost, and comprehensive feature engineering.
Chatbot Events
RAG-based application utilizing FastAPI, LangChain, MistralAI, FAISS vector store, and evaluated with Ragas in Docker containers.
MLflow Tracking & Deployment
Complete experiment tracking lifecycle utilizing Optuna, MLflow, XGBoost, LightGBM, and Evidently AI for data drift monitoring.
Let's Work Together
Interested in a collaboration, have a project in mind, or just want to say hi? Feel free to connect!