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Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them via MLOps, and maintains cloud-based data infrastructure for intelligent applications.
Build and optimize Python-based speech-to-text models using frameworks like Whisper or Wav2Vec2, deploy them via APIs/Docker, and integrate into real-time applications.
Build and optimize Python-based speech-to-text models using frameworks like Whisper or Wav2Vec2, deploy them via APIs, and integrate into products.
Build and deploy Python-based ML Ops systems on AWS to optimize costly third-party verification API calls for a mortgage-tech client, reducing expenses via intelligent routing and real-time decision pipelines.
Build and maintain AI-powered data pipelines and infrastructure for document automation, deploying LLM agents and ensuring scalable, reliable AI systems in production.
Build and deploy scalable data pipelines, warehouses, and ML systems using Python, Spark, Kafka, and cloud tools, while learning on real client projects.
Build and maintain scalable data pipelines on Google Cloud using BigQuery, Cloud Storage, and Kubeflow, while automating infrastructure with Terraform, Kubernetes, and CI/CD tools.
Senior DevOps Engineer at Somtoday, an edtech platform for student administration and education logistics, modernizing hybrid infrastructure and improving developer experience with Kubernetes, CI/CD, and AI-driven automation.
Build and maintain the scalable cloud-native infrastructure and CI/CD pipelines that power the largest Dutch primary-education platform, improving reliability and developer experience for thousands of schools.
Build and maintain the scalable, high-availability infrastructure powering a national education platform, using Kubernetes, CI/CD, and AI-driven automation to keep schools running smoothly.
Build and scale the backend platform that powers AI-driven travel experiences, integrating ML models and vector search for real-time personalization at global scale.
Full Stack Data Scientist building ML models and web apps to drive retail insights and customer analytics at a large ecommerce company.
Lead AI strategy and build large language models for a healthcare platform, collaborating with regional teams to deploy and scale ML systems end-to-end.
Senior Data DevOps Engineer builds and maintains Azure-based data platforms in Databricks, automates CI/CD pipelines, and ensures scalable, secure deployments for data workflows and services.
Design and solve complex, real-world data science problems in Python and SQL to train and improve generative AI models for diverse industries.
Lead a team building cloud-native data platforms and AI pipelines, owning product backlogs and driving scalable solutions for Generative AI, LLMs, and vector databases.
Lead a data engineering team to build and scale AI-driven pipelines for a fintech startup, using GCP, Python, and LLM-based enrichment to analyze financial data.
Build deep-learning models for face liveness detection and biometric identity verification, deploying them to production and improving security against spoofing attacks.
Build and deploy computer-vision models that detect liveness spoofs and deepfakes to secure VIDA’s identity-verification pipeline using PyTorch and OpenCV.
Build and deploy AI models for chatbots and personalization, designing data pipelines to improve model performance in a fast-paced startup.
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