Khalid QACEME
Data x AI Engineer - Lead Instructor at ClusterX
Salary / Daily rate
Paris, France
Freelance
Can come onsite
Skills
Languages
Work experience
Lead AI - Data Engineer
Natixis
Apr 2025 - Present
1 year 7 months
Paris, France
- Designing, developing, and testing generative AI models for various applications (e.g., chatbots, content generation, data analysis) - Conducting POCs to evaluate the feasibility and performance of new AI, generative AI, and automation approaches - Collaborating with business teams to understand their needs and propose relevant AI, generative AI, and automation solutions - Integrating AI models into existing systems and applications - Optimizing the performance and scalability of AI, generative AI, and automation solutions - Ensuring code quality and technical documentation - Staying current with the latest advances in AI, generative AI, automation, and machine learning - Contributing to the architecture definition of AI, generative AI, and automation solutions - Deploying to production and maintaining developed solutions
Founder & Lead Instructor
ClusterX
Jan 2025 - Present
1 year 10 months
Paris, France
Clusterx Academy - Founder & Lead Instructor Building the Next-Gen AI Orchestration Models Educational organization specializing in experimental AI and automation training for individuals and enterprises. Expert instructors in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI orchestration technologies. Deliver comprehensive workshops and seminars to upskill professionals in Data and AI implementations. https://www.clusterx.fr
AI Engineer / GenAI LLM
AlignerrFreelance
Jan 2025 - Present
1 year 10 months
Remote, OR 97458, USA
Optimization of LLM agent annotation workflows using AWS SageMaker Ground Truth, LangChain, and LangGraph, while maintaining data quality and governance standards in both French and English Implementation of quality control systems based on FastAPI and Python integrating with AWS Lambda, LangChain, and LangGraph, directly contributing to performance improvements of the Zara recruitment AI agent (LLM recruitment - agents) Tech Stack : AWS SageMaker, FastAPI, AWS Lambda, Python, Git, AWS IAM
BNP Paribas
May 2018 - Dec 2024
6 years 8 months
Paris, France
Data x AI Engineering - Freelance
Jan 2021 - Dec 2024
4 years
Paris, France
Close collaboration with the data science and analytics team to design star schema data models and robust data pipelines using Azure Synapse Analytics, Azure Databricks, and Data Factory for processing large data sets Leveraging Azure services (Blob Storage, Azure SQL, Azure Functions) to build cloud-native data pipelines and improve scalability Using Kafka and Stream Analytics for real-time data processing and analysis, supporting real-time decision making for Marketing and Customer Acquisition team use cases Contributing to the optimization of dimensional data models in snowflake schema to improve query efficiency while maintaining data integrity Contributing to the identification of innovative use cases leveraging data marts to enhance the customer journey within BNP Paribas IFS Automating data pipelines and infrastructure deployment using Azure DevOps and Azure Resource Manager templates Tech Stack : Kafka, Azure Synapse Analytics, Azure Data Factory, Azure SQL, Azure Functions, Azure Blob Storage, Azure Event Hubs, Stream Analytics, Azure DevOps, ARM Templates, Python, SQL, PowerShell, T-SQL, Dimensional Modeling
Platform Engineer
Jan 2019 - Jan 2021
2 years 1 month
Paris Area, France
Developed BNP Paribas Connect SaaS on AWS from scratch, enabling seamless and secure customer data sharing between BNP Paribas and its partners via data vaults Used star schema modeling in AWS QuickSight to design and deploy real-time dashboards tracking customer onboarding metrics, KYC cost reductions, and data sharing efficiency Created dimensional data models in AWS QuickSight connected to Amazon Redshift to analyze customer data flows, identifying bottlenecks and optimizing processes Collaborated with internal teams and an external startup to implement Blockchain solutions on AWS Managed Blockchain for secure customer data management Implemented data pipelines on Snowflake for customer data ingestion, transformation, and integration, enabling unified analysis and near real-time data availability while complying with banking regulatory requirements Designed and developed multi-entity models on Snowflake Data Cloud to facilitate secure data sharing between BNP Paribas and its partners, optimizing KYC processes and reducing operational costs Tech Stack : Snowflake, AWS QuickSight, Amazon Redshift, AWS Managed Blockchain, AWS Lambda, S3, RDS PostgreSQL, CloudFormation, Python, SQL, Dimensional Data Modeling, Hyperledger Fabric, web3.js
Data Analyst
May 2018 - Jan 2019
9 months
Paris Area, France
Skills: Communication · Business Process Improvement
Research Fellow
Digital Euro Association
Jan 2020 - Dec 2020
1 year
Skills: Stabelcoin · CBDC · Distributed Ledger Technology (DLT)
Data Analyst
Bosch
May 2017 - Aug 2017
4 months
69340 Francheville, France
Skills: Vba · SQL · Python
Data Analyst - Blockchain Expert
CIRLY
Sep 2016 - May 2017
9 months
Corskeagh, Frenchpark, Co. Roscommon, Ireland
Skills: Blockchain · Web3 · Python · Ethereum · Blockchain Data Structures
Education
Centrale Lyon
Engineer's degree
2015 - 2018
3 years 1 month
Licenses & certifications
Databricks Certified Data Engineer Associate
Issued: May 2025
Generative AI Fundamentals
Issued: Feb 2025
Databricks Fundamentals
Issued: Feb 2025
Azure Databricks Platform Architect
Issued: Feb 2025
BNP Paribas Journey To Cloud
Issued: Nov 2021