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Builds resilient data pipelines and cloud architectures for AI-driven energy intelligence using Python, TypeScript, GCP, and SQL/NoSQL.
Build and maintain scalable Azure Databricks pipelines and data products for Daikin’s HVAC-focused data platform, ensuring reliability and enabling analytics and AI-driven insights.
Builds full-stack web apps in Python and TypeScript/React to automate manufacturing workflows and integrate with industrial systems.
Senior Data Engineer builds and optimizes cloud ETL/ELT pipelines and data solutions to power AI/ML and manufacturing analytics at a global materials-tech company.
Build and deploy full-stack manufacturing software on-site in Mexico, integrating machines, ERPs, and workflows with Python, TypeScript, React, and Kubernetes.
Builds web and software apps for smart-city projects using agile methods, AWS, and API integrations.
Build full-stack web apps for smart-city platforms, integrating IoT data, APIs, and AWS services while maintaining secure databases and user authentication.
Builds secure web apps for road-safety services, working across the full stack and collaborating with engineering teams.
Build and maintain manufacturing software using .NET/C#, SQL, and Azure to support MES, IoT, and AI-driven automation for industrial lighting and smart spaces.
Build and maintain web apps that support road-safety initiatives, working full-stack across front-end, back-end, and testing in an agile team.
Oversee utility-scale renewable energy projects, coordinating contractors, budgets, and timelines to deliver solar and battery storage infrastructure on time and within budget.
Research Assistant in Civil Engineering develops AI/ML models to predict material strength using IoT sensor and lab data, integrates sensors, and prepares reports.
Research and develop core AI technologies, optimize deep learning models, and deploy large-scale systems while applying AI across industries like 5G/6G, healthcare, and finance.
Design and optimize large-scale AI models, build deep-learning architectures, and deploy end-to-end AI systems using TensorFlow/PyTorch and Python/C++.
Build and maintain AI-ready data pipelines for semiconductor manufacturing, cleaning and validating production data to support next-gen equipment development.
Lead a team to design and build scalable Azure-based data pipelines and Lakehouse architectures using Databricks, Delta Lake, and Azure Synapse to integrate enterprise data for analytics and AI insights.
Build ML models to optimize water and wastewater treatment processes, using predictive analytics and digital twins to improve asset reliability and operational efficiency.
Lead a data platform team to build and optimize ETL pipelines, cloud infrastructure, and AI integrations for a climate-focused energy company using Azure, Databricks, and DevOps tools.
Build backend services and APIs for supply-chain data products, integrating AI/ML (LLMs, diffusion models) into production systems while owning deployment, monitoring, and maintenance.
Build computer-vision software and inspection algorithms for semiconductor manufacturing equipment.
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