Anass Anhari

I build production AI systems and multi-agent architectures. Today that's at MediaMarktSaturn, automating retail and service workflows across international markets. Before that, Amazon Science & Tech.

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Experience

AI Engineer
02/2026 – Present
MediaMarktSaturnNow
Production AI systems and multi-agent architectures for retail and service operations, automating business workflows across international markets.
SDE Intern, Science & Tech
03/2025 – 09/2025
Amazon
Multi-agent systems, RAG architectures and ETL pipelines that helped thousands of users navigate internal codebases, wikis and ML platforms.
Assistant Professor
08/2024 – 02/2025
Universitat Politècnica de Catalunya
Developer Analyst
09/2023 – 09/2024
Deloitte
ML Research Engineer
08/2022 – 08/2023
FLAIR / UPC, EU Consortium
Research on Federated Learning and 5G edge computing in an EU-funded consortium.

Selected projects

All projects

EduCast: actual versus predicted enrolment heatmap

01 · 2026Featured

EduCast: Hierarchical Forecasting for University Enrollment

My Master's thesis on predicting course enrollment using student-level trajectory modelling. We compared LSTMs, GRUs, LightGBM, and Course2Vec embeddings on 505 students and 51 courses over 11 years, and explored hierarchical reconciliation to make forecasts consistent across different planning levels.

Hierarchical Forecasting
LSTM
LightGBM
Course2Vec

Read the case study

02 · 2022

Flair AI/ML Research Project

A European consortium project on which I collaborate. In many AI use cases, the training stage is done on a central server, meaning that data is shared. Hence, we are developing a solution based on Federated Learning (without sharing any kind of data) integrating the VEDLIoT (also an EU-funded project) toolchain into our use case (voice recognition) within a 5G network setup.

Federated Learning
PyTorch
5G
EU Research

03 · 2022

5G Network

A project for the UPC (Universitat Politècnica de catalunya) for implementing, configuring and running a 5G end-to-end setup using SDRs and OpenAirInterface5G, allowing the UPC to conduct a wide range of experiments/studies on the 5G network.

5G
Network Architecture
Systems

Pruned decision tree from the enrolment study

04 · 2022

Predicting University Enrollments with Machine Learning

So far, the procedure for university enrollments it has been done manually. In addition, it has always required a great effort and experience on the part of the team that manages them. We are facing a complex problem, that is, if we wanted to automate this procedure, we could not apply a traditional approach nor any generic rule or algorithm to determine whether or not a student will enroll because of the behavior of each student is quite unpredictable. For this reason, it is proposed to apply Machine Learning with the purpose of generating and analyzing various predictive models based on the previous academic history of all students.

Machine Learning
Classification
Python

All projects

Stack

Tools I've worked with across research, production ML and full-stack engineering.

See them by area

PyTorchDeep Learning

TensorFlowDeep Learning

Scikit-learnML Library

NumPyScientific

PandasData Analysis

Hugging FaceNLP / LLMs

LangGraphAgent Framework

Google ADKAgent Dev Kit

n8nWorkflow Automation

Bedrock AgentsAWS AI Agents

PythonLanguage

CLanguage

SwiftLanguage

TypeScriptLanguage

LaTeXTypesetting

Google CloudGCP

AWSCloud

DockerContainers

GitVersion Control

LinuxOS

Next.jsWeb Framework

FastAPIAPI

PostgreSQLDatabase

RedisCache / DB

Neo4jGraph DB

Education

MSc Machine Learning & Cybersecurity
2023 – 2025
Universitat Politècnica de Catalunya (UPC)MERIT Scholarship
BSc Computer Engineering
2018 – 2023
EPSEM, Universitat Politècnica de CatalunyaEPSEM Scholarship

Let's connect.

Whether you'd like to collaborate, discuss machine learning, or simply exchange ideas, feel free to reach out.

anassanhari@icloud.com

Email meLinkedIn

Experience

AI Engineer

SDE Intern, Science & Tech

Assistant Professor

Developer Analyst

ML Research Engineer