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Builds and maintains Python-based web apps and APIs using Django/Flask/FastAPI, integrates databases, and collaborates with cross-functional teams.
Builds scalable Python web apps and APIs using Django/Flask/FastAPI, integrates databases, and ensures clean, secure code in a collaborative team.
Build and deploy AI-powered Python applications, REST APIs, and ML pipelines using TensorFlow/PyTorch, Docker, and cloud AI services.
Build and optimize Python-based speech-to-text models using frameworks like Whisper or Wav2Vec2, deploy them via APIs, and integrate into products.
Builds and maintains Python-based web apps and APIs using Django/Flask/FastAPI and databases like PostgreSQL or MongoDB.
Builds and maintains Python-based web apps and APIs using Django/Flask/FastAPI, optimizes PostgreSQL/MySQL/MongoDB queries, and collaborates with cross-functional teams.
Builds and maintains Python-based web apps and APIs using Django/Flask/FastAPI, integrates databases, and follows security best practices.
Build and maintain analytics-ready datasets for machine learning and reporting using SQL and Python, ensuring data quality and enabling insights across industries.
Build and maintain robust data pipelines for IFRS 17 insurance analytics using Python, Pandas, and ETL workflows to ensure data quality and scalability.
Build and optimize full-stack healthcare SaaS apps using Golang, Python, and React in a cloud-native AWS environment.
Builds and optimizes full-stack healthcare SaaS using Golang, Python, and React in a cloud-native AWS environment, focusing on data-driven features and distributed systems.
Builds and maintains Python-based data pipelines for insurance accounting (IFRS 17), transforming and validating actuarial data at scale.
Build and maintain Python/C# data pipelines, analytics platforms, and monitoring dashboards using NumPy, Pandas, and Grafana for enterprise clients.
Build and deploy agentic AI systems using LLMs and NLP for healthcare, focusing on RAG, chatbots, and structured information extraction to improve patient outcomes.
Build and maintain scalable data pipelines for AI/ML projects using Python, PySpark, SQL, and cloud platforms like AWS/GCP/Azure.
Lead a small team to build and maintain an Azure-based data platform, ensuring high-quality data pipelines and insights for a fast-growing Dutch mobility platform.
Builds and deploys AI-driven synthetic data pipelines using diffusion models and differential privacy to create privacy-safe datasets for enterprise clients.
Builds and maintains Python-based engineering tools (FastAPI, REST APIs, Docker) that help MEMS developers design and produce ultra-precise timing devices.
Build and maintain a Python-based economic scenario generator for financial institutions, translating complex models into scalable, cloud-native software while mentoring peers.
Mid-Senior Python developer building and deploying applications using OOP, APIs, Docker, and CI/CD pipelines for a global IT services firm.
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