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Builds backend services and frontend interfaces for a marketing analytics platform using Python (FastAPI/Flask), React/TypeScript, PostgreSQL, and Docker.
Build full-stack data and automation solutions on Microsoft Azure using Python, APIs, and AI to streamline business processes and analytics workflows.
Builds a deterministic RAG system using Apache Beam pipelines, FastAPI services, and Google Cloud Spanner while integrating with graph databases and Temporal workflows.
Lead the backend and data engineering behind a next-gen RAG system, building scalable Apache Beam pipelines, Google Cloud Spanner graph queries, and FastAPI/Temporal services to power deterministic LLM agents.
Lead a team to build and maintain scalable data pipelines and analytics architecture for a marketing analytics platform using AWS, Python, and Airflow.
Builds and maintains backend services and frontend interfaces for a marketing analytics platform using Python (FastAPI/Flask), React, TypeScript, PostgreSQL, and Docker.
Build backend services and frontend interfaces for a marketing analytics platform using Python (FastAPI/Flask) and React/TypeScript, with PostgreSQL for data storage.
Build backend services and frontend interfaces for a marketing analytics platform using Python (FastAPI/Flask), React/TypeScript, and PostgreSQL, with AI-assisted tools.
Builds scalable backend services and frontend interfaces with Python (FastAPI/Flask), React, and TypeScript, using PostgreSQL and Docker in data-heavy contexts.
Builds Python (FastAPI/Flask) REST APIs and React/TypeScript frontends for a marketing analytics platform, managing PostgreSQL schemas and migrations.
Build and maintain backend services and frontend interfaces for a large-scale marketing analytics platform using Python (FastAPI/Flask) and React/TypeScript.
Build and refine backend services in Python to power a global food-supply platform, focusing on PostgreSQL, testing, and scalable architecture.
Builds Python/FastAPI backends and AI-driven automation pipelines, integrating LLMs and orchestration tools while developing ERP modules and data pipelines.
Builds and deploys production-grade data pipelines in Python/SQL, using Airflow or dbt to turn prototypes into scalable analytics services with FastAPI/Flask APIs.
Build and deploy machine-learning models and data pipelines, then expose them via FastAPI services in a fully remote team.
Build and maintain end-to-end ML pipelines and production APIs for regulatory, clinical, and manufacturing data using Python, FastAPI/Flask, and MLOps practices in Madrid.
Build backend services in Python/FastAPI and integrate AI workflows for pharma-focused AI tools.
Tech Lead builds and deploys cloud-based IoT systems using Python/FastAPI back-end and React front-end, collaborating with cross-functional teams.
Builds full-stack features in React/TypeScript and FastAPI/Python for automotive projects, writes tests, and reviews code with SQL, BigQuery, and GCP.
Builds Python (FastAPI) backends and React UIs for automotive projects, implementing CRUD endpoints and UI components while maintaining tests and docs.
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