
N'bouyaa KASSINGA
Senior AI Engineer | RAG, Agents, MCP & Inference
Salaire / Taux journalier
Paris, France
Mobilité : Paris
Freelance
À distance uniquement
Expertises
Langues
À propos
Introduction
I design and deliver production-grade GenAI systems: enterprise RAG, AI agents, MCP integrations and LLM inference optimization. Recent impact: CHANEL — SAP BW flow conversion reduced from 5 days to ~30 minutes, €1M+ savings; M6 — multi-agent RAG assistant used by 1,000+ people weekly, -50% resolution time; Plussimple — +70% response accuracy; Gladia — -10% latency and -50% cloud costs. Stack: Python/FastAPI, AWS Bedrock, Azure OpenAI, LangChain, Langfuse, Terraform.
Expérience de travail
Senior AI Engineer — Agentic SAP Migration
ChanelFreelance
oct. 2025 - Présent
1 an 1 mois
Paris, France
Designed and delivered an enterprise agentic AI platform to accelerate SAP BW-to-Microsoft Fabric migration. • Automated analysis and documentation of heterogeneous BW and ABAP pipelines. • Built AI-assisted workflows converting legacy transformations into production-ready PySpark. • Orchestrated Azure OpenAI agents for code understanding, pattern detection and validation. • Deployed secure serverless processing with Azure Functions, Blob Storage and Docker. Impact: reduced flow conversion time from 5 days to ~30 minutes across 200 flows, with €1M+ in projected savings. Stack: Azure OpenAI, AI Agents, Microsoft Fabric, PySpark, Azure Functions, Blob Storage, Docker, Python.
Devoteam
nov. 2022 - oct. 2025
3 ans
Paris, France
AI Engineer — Multi-Agent RAG & LLM Observability
avr. 2024 - oct. 2025
1 an 7 mois
Paris, France
Built Alfred, a production-grade enterprise AI assistant serving 1,000+ weekly users across multiple M6 business units. • Designed a LangChain-orchestrated multi-agent system on Amazon Bedrock. • Built advanced RAG pipelines for PDF, Excel, EML and DOCX with reranking and relevance scoring. • Explored Graph RAG and implemented modular tools, memory and structured traceability. • Deployed Langfuse observability for latency, usage and continuous quality evaluation. • Added prompt-injection protection, topic filtering and user-level access controls. Impact: reduced query resolution time by 50%. Stack: Amazon Bedrock, LangChain, RAG, Graph RAG, Multi-Agent Systems, Langfuse, Tool Calling, Terraform, Python.
AWS Summit Demo (Innovation Corner) : Paris, London
mars 2024 - mai 2024
3 mois
On-site
👤 ML Consultant ❖ Gen AI powered Art Search Engine. Enhance the recommendation of artworks leveraging LLMs through Amazon Bedrock. 🛠️ Amazon Bedrock, AWS steps functions, Opensearch, DynamoDB, S3, Parameter Store, API Gateaway
AI Engineer — Enterprise RAG Assistant
déc. 2023 - mars 2024
4 mois
Paris, France
Designed and delivered a GenAI assistant helping insurance teams access product information, query private documents and automate recurring NLP tasks. • Built an enterprise RAG pipeline over internal insurance knowledge. • Orchestrated conversational workflows and tool integrations with LangChain. • Added evaluation and prompt-engineering iterations to improve answer relevance and reliability. • Deployed the solution on AWS with infrastructure as code. Impact: improved response accuracy by 70%. Stack: Amazon Bedrock, LangChain, RAG, Amazon Lex, AWS CDK, Python, Poetry.
🌬 @Air Liquide- Data Engineer
mars 2023 - déc. 2023
10 mois
Hybrid
📌 Air Liquide is an industrial gases supplier ❖Implemented a data catalog for more than 20M Data 🛠️ azure functions, application insights, azure purview, blob storage, Application functions
Data and Cloud Consultant (AWS )
nov. 2022 - mars 2023
5 mois
METEOPTIM
juin 2021 - oct. 2022
1 an 5 mois
Aix-en-Provence, France
Data scientist
déc. 2021 - oct. 2022
11 mois
Aix-en-Provence, France
Cloud computing, Big Data, IoT, Machine learning, réseaux de neurones, Amazon Web Services.
Data Science Intern
juin 2021 - déc. 2021
7 mois
Aix-en-Provence, France
-Research of important meteorological features for the estimation of the electrical and thermal production of solar panels of some installations: Web scrapping, feature engineering, data analysis -Implementation of neural networks for the prediction of these productions: Deep Learning -Scraping and storage of meteorological data (API, web scrapping) on Amazon Web Service (AWS: S3) in an automatic way (Cron Job, Lambda functions, Elastic Compute Cloud) Programming languages: Python, Matlab
Chargé de mission
CGEM
juin 2020 - juil. 2020
2 mois
Casablanca, Maroc
Elaboration and implementation of an anti-covid sanitary action plan for SMEs in Morocco Implementation of monitoring tools in order to track the effectiveness of the developed plan
Business development & Digital Marketing Intern
Cuimer
avr. 2020 - mai 2020
2 mois
Casablanca, Maroc
Identified the target market and client Proposed a communication strategy (tagline): Copywriting, tagline models Increased the company's visibility on the internet and social networks Managed social networks: Facebook, Instagram
Financial analyst intern
MKonsulting
juin 2019 - juil. 2019
2 mois
Casablanca-Settat, Morocco
Financial diagnosis of a company listed on the Casablanca Stock Exchange: Analysis of accounting documents and annexes, study of financial ratios, comparison with other companies in the same sector Establishment of a business plan forecast over 3 years
Formation
IA School
Master 2 (M2), Science des données
2022 - 2022
10 mois
Ecole Centrale de Marseille
Diplôme d'ingénieur, Data Science
2020 - 2021
1 an 1 mois
Ecole Centrale Casablanca
Diplôme d'Ingénieur Généraliste , generaliste
2018 - 2021
3 ans 1 mois
Lycée Scientifque de Lomé
Baccalauréat, Sciences mathématique A
2015 - 2016
1 an 1 mois
Portfolio

Gladia — LLM Inference Optimization

M6 — Multi-Agent RAG & LLM Observability
