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I'm excited to apply for this AI/ML Engineer role because I enjoy building end-to-end AI-powered web applications using Python, Django, TypeScript, and modern LLM technologies. My experience developing scalable AI solutions, integrating machine learning models, and delivering production-ready applications makes me well suited to contribute to your team.…

James Smith

Full Stack Developer, Web Developer, AI Developer, +2

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I'm excited to apply for this AI/ML Engineer role because I enjoy building end-to-end AI-powered web applications using Python, Django, TypeScript, and modern LLM technologies. My experience developing scalable AI solutions, integrating machine learning models, and delivering production-ready applications makes me well suited to contribute to your team.…

Available to hire

I’m excited to apply for this AI/ML Engineer role because I enjoy building end-to-end AI-powered web applications using Python, Django, TypeScript, and modern LLM technologies. My experience developing scalable AI solutions, integrating machine learning models, and delivering production-ready applications makes me well suited to contribute to your team.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Full-Stack Developer at Cloudrane

January 1, 2024 - Present

Developed AI-powered web apps with Django and modern front-end stacks; architected end-to-end solutions, including event-driven microservices, RESTful APIs with GraphQL support, and automated deployments using Docker, Kubernetes, Azure DevOps, and GitHub Actions. Optimized data pipelines with Spark/PySpark on Databricks and refined models with LangChain and LLM fine-tuning.

Full-Stack Developer at Cloudrane

January 1, 2021 - January 1, 2024

Built and deployed AI-driven applications end-to-end using Python, Django, JavaScript, and TypeScript; designed backend microservices and frontend interfaces to deliver scalable, production-ready solutions. Implemented data pipelines and vector database integration (e.g., Pinecone) to support AI agents and RAG workflows; conducted code reviews and ensured cloud deployment best practices for reliability and maintainability.