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.

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About Me

Falonne KPAMEGAN

About.p1

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
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Work Experience

AI Developer

Freelance

November 2025 - Present

  • Design of custom solutions combining software engineering and artificial intelligence for private and independent clients
  • Development of data-driven web applications and AI-based automation tools (workflows, AI agents, NLP, Langchain, Langgraph)
  • Integration of AI models into existing applications (APIs, ML pipelines)
  • Deployment and production of robust and scalable solutions (Docker, CI/CD, cloud)
PythonNextJSFastAPILangChainDockerSupabase

Data Scientist (Internship)

SNCF Réseau

March 2025 - September 2025

  • Assisting business teams in data scoping and AI use case definition
  • Design and industrialization of Big Data pipelines for anomaly detection on 500M+ time-series data points
  • Selection and implementation of Deep Learning and Machine Learning algorithms (LSTM, Isolation Forest) with functional and technical analyses
  • Optimization of data and algorithmic processing: -40% reduction in computation time and improved stream reliability
  • Monitoring models in production and tracking performance over time
PythonTensorFlowScikit-learnAzure DatabricksPySparkMLflow

R&D Data Engineer (Internship)

EffetB

April 2024 - August 2024

  • Development of a hybrid recommendation system, combining knowledge graphs (Neo4j) and advanced NLP
  • Leveraging community detection to better segment users and strengthen recommendation quality
  • 30% reduction in cold start issues through integration of contextual embeddings (TF-IDF, Keras embeddings)
  • Implementation of advanced algorithms: GraphSAGE, FastRP, KMeans, t-SNE dimensionality reduction with 3D visualizations
  • POC validation allowing product integration and concrete user-oriented use cases
Neo4jPythonKerasGraphSageFastRPScikit-learn

Data Scientist

Intside LLC

December 2021 - August 2023

  • Analysis of user behavior, web traffic and marketing campaign performance to drive decision-making
  • Design of a clustering model (KMeans) that identified 4 strategic client segments
  • Design of lead scoring models integrated into the agency's targeting strategies
  • Creation of Power BI dashboards and cross-functional collaboration with product, tech and marketing teams
PythonScikit-learnPower BISQLGCPKMeans

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
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Skills & Technologies

Languages

PythonSQLRTypeScript

3+

Years Experience

15+

Projects Done

20+

Technologies

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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