Available for opportunities

Falonne KPAMEGAN

Data Scientist & AI Engineer

Building intelligent systems with machine learning, deep learning, and generative AI. From data pipelines to production-ready models.

About Me

Passionate about AI and data science for several years, I've specialized in machine learning, deep learning, and more recently Generative AI and Agentic systems.

My journey has led me to design complex ML pipelines, build production-grade models, and deploy AI solutions on cloud infrastructures. I combine strong software engineering foundations with cutting-edge AI research.

Today, I develop end-to-end AI systems including recommendation engines, NLP solutions, computer vision applications, and intelligent agents (RAG, Multi-Agent Systems).

Tech Stack

Python / PyTorchTensorFlow / KerasLangChain / LangGraphScikit-learn / XGBoostDocker / KubernetesAzure / GCP

Work Experience

Data Scientist Intern

SNCF Réseau

March 2025 - September 2025

—Designed an anomaly-detection pipeline (Denoising LSTM Autoencoder + Isolation Forest) on 500M+ time-series records
—Reduced computation time by 40% and achieved an AUC of 0.80
—Optimized the solution for Azure Databricks to enhance scalability and robustness

PythonTensorFlowScikit-learnAzure DatabricksPySparkMLflow

AI/Data Engineer Intern (R&D)

EffetB

April 2024 - August 2024

—Developed a hybrid recommendation system combining knowledge graphs and NLP embeddings
—Reduced cold-start issues by 30% using GraphSage, FastRP, and clustering methods
—Created 3D T-SNE visualizations for insights and delivered a validated POC

Neo4jPythonKerasGraphSageFastRPScikit-learn

Software Developer / Data Analyst

Alibora SARL

December 2021 - August 2022

—Built a call-center agent management system with performance tracking and audio integration
—Enhanced a property-management mobile app and contributed to ETL pipelines
—Developed REST APIs using Laravel for data processing workflows

DockerJavaScriptLaravelSQLAPI Development

Skills & Technologies

Languages

PythonSQLRJavaScript / TypeScript

Years Experience

15+

Projects Done

20+

Technologies

Featured Projects

SISE O Resto

A conversational AI chatbot that helps to find the best restaurant in Lyon based on Tripadvisor reviews. Built with NLP techniques and transformer models for semantic understanding.

NLPTensorFlowTransformersStreamlitPython

Code Live Demo

Emotional Report

AI system that detects your emotion based on your voice recordings. Uses Wav2Vec2 for audio feature extraction and LSTM networks for emotion classification.

PythonWav2Vec2LSTMStreamlitDeep Learning

Code Live Demo

More Projects

Vendora

E-commerce platform with recommendation engine using collaborative filtering.

Next.jsTypeScriptAPI REST

Anomaly Detection Pipeline

LSTM Autoencoder + Isolation Forest for time-series anomaly detection on 500M+ records.

PythonTensorFlowPySparkAzure

Knowledge Graph Recommender

Hybrid recommendation system using Neo4j knowledge graphs and NLP embeddings.

Neo4jGraphSagePythonKeras

RAG Document Assistant

Retrieval-Augmented Generation system for intelligent document Q&A.

LangChainOpenAIVector DBFastAPI

Writing

Machine Learning

Understanding Isolation Forest for Anomaly Detection

Isolation Forest is one of those machine learning algorithms that seems almost too simple, yet surprisingly powerful.

Oct 7, 2025

Deep Learning

Anomaly Detection in Sequential Data using LSTM Autoencoder

How to detect anomalies in sequential data using a deep learning-based LSTM Autoencoder, followed by KMeans clustering.

Oct 7, 2025

Let's Connect

I'm always open to new opportunities, collaborations, or just a chat about AI, data science, and tech. Feel free to reach out!

Get in Touch