David Manuel

Engineered high-performance backend systems using Node.js and Python, enhancing reliability by 55% and enabling seamless handling of high-volume manufacturing operations. Built and deployed AI/ML solutions with Python, TensorFlow, and PyTorch, reducing data processing latency by 30% and enabling real-time predictive dashboards for operational efficiency. Designed modular microservices with Django, Flask, FastAPI, Express.js, and Nest.js to optimize production and inventory workflows and reduce reporting latency by 30%. Collaborated with Java development teams to troubleshoot challenges, optimize backend workflows, and ensure seamless integration with existing systems. Developed interactive dashboards and admin portals using React.js, Angular, and TypeScript, improving KPI visibility and reducing user support tickets by 20%. Deployed cloud-native workloads on AWS, Azure, and GCP using Docker and Kubernetes, achieving 99.9% uptime and disaster-recovery readiness. Integrated PostgreSQL, M

Developed scalable backend services using .NET Core and ASP.NET Core, leveraging Entity Framework for optimized database interactions and reducing API response times by 25%. Built scalable data pipelines and microservices with .NET Core, Django, Flask, and FastAPI, improving ORM interactions and API throughput. Designed and implemented interactive front-ends with React.js, Angular, Vue.js, and TypeScript to drive higher user adoption. Designed RESTful and GraphQL APIs with Swagger/OpenAPI to integrate ERP and MES systems. Deployed cloud-native workloads on AWS and GCP with Docker and Kubernetes, achieving 99% uptime. Built robust data pipelines using PostgreSQL, MongoDB, and DynamoDB to support analytics and reporting.

Designed and implemented high-performance backend systems using .NET/C# and Python, enabling scalable data processing for large-scale manufacturing web platforms. Built scalable microservices with .NET Core and ASP.NET Core, leveraging Entity Framework for optimized data interactions and reducing API response times. Built robust backend services with Django, Flask, and FastAPI, optimizing ORM interactions and improving API throughput. Built responsive frontend using React, Angular, and TypeScript, delivering accessible UI and reducing maintenance. Deployed cloud-native workloads on AWS and GCP using Docker and Kubernetes, achieving high availability.