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

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
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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