AI Development & engineering

About this Gig

I offer end to end AI Development and Engineering to build custom, intelligent systems that solve complex business problems. My expertise includes architecting Retrieval Augmented Generation (RAG) systems for private data, training custom Scikit-learn or PyTorch models for predictive analytics, and deploying scalable AI agents. I specialize in taking raw data and turning it into production-ready software, ensuring every solution is optimized for speed and integrated seamlessly with your existing tech stack or cloud infrastructure.

Requirements

Project Objective: A detailed description of the problem you want the AI to solve and the expected final deliverable (e.g., a standalone app, a REST API, or a script). Dataset Access: Any existing data (CSV, SQL, JSON) you want the model to be trained on or interact with. Success Metrics: Clear benchmarks for success, such as a specific accuracy rate or processing speed. Infrastructure Details: Information on where the system will be hosted (local server vs. cloud) to ensure compatibility.

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