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Builds and maintains the backend services and AI pipelines for an enterprise-grade conversational AI agent using Python, FastAPI/Flask, LangChain, and Google Gemini Enterprise on GCP.
Builds Python back-end services and AI pipelines for an enterprise GenAI assistant using FastAPI/Flask, LangChain, and Google Vertex AI on GCP.
Builds and maintains backend services and AI pipelines for conversational agents using Python/Go, integrating LLM APIs (Gemini/Vertex) and social data sources to power Ipsos Synthesio’s social intelligence platform.
Build and deploy scalable generative-AI systems on GCP, integrating LLMs and RAG into Air Liquide’s products while ensuring performance, cost, and observability.
Build and maintain data pipelines, data marts in BigQuery with DBT, and dashboards in Tableau to power healthcare insights and AI strategy at a leading health-tech company.
Build and maintain data pipelines in Python (Dagster) and SQL/Jinja (DBT) to power analytics and AI at Doctolib, a healthcare platform.
Build and deploy scalable generative-AI systems on GCP, integrating LLM APIs, RAG, and agent workflows while ensuring reliability, cost control, and observability for an industrial group.
Designs and maintains scalable GCP data pipelines (BigQuery, Dataflow, Dataproc) for retail clients, automating data flows and optimizing analytics infrastructure.
Build and deploy scalable generative-AI systems for Air Liquide’s products, focusing on LLM pipelines, RAG, and agent workflows on GCP’s Vertex AI and Agent Space.
Build robust data pipelines and cloud-native platforms using Python, SQL, dbt, Airflow, BigQuery, Snowflake, and Databricks, while integrating AI/ML workflows and RAG systems.
Designs and builds cloud-native data pipelines and platforms using Python, SQL, dbt, Airflow, and GCP, integrating AI/ML workflows and real-time analytics.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Lead a team to design and build end-to-end data architectures on Google Cloud, using BigQuery, Dataflow, and DBT to create scalable ETL/ELT pipelines and integrate GenAI services.
Build and maintain data pipelines for a Retail Media SaaS platform, integrating sales, product, store, and IoT feeds across multi-cloud (GCP/Azure) to power campaign measurement and deployment.
Design and build scalable GCP-based data pipelines, lakes, and analytics platforms for enterprise clients, using Python, Spark, and BigQuery to enable data-driven decision-making.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Builds enterprise-grade Angular frontends with AI integrations, CMS connections, and design systems for global clients while collaborating with US and European teams.
Builds modern Angular-based UIs and integrates generative AI features for enterprise clients, focusing on design systems, CMS integrations, and scalable frontend components.
Senior DevOps engineer maintains and improves a live AWS EKS platform for an AI-powered medical-legal report system, focusing on reliability, observability, and HIPAA compliance.
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