Project Description
I need an experienced AI consultant / architect to step in and re-shape the core of our SaaS platform so it runs smarter, faster, and at lower cost. The immediate focus is product functionality: I want machine-learning driven logic that streamlines internal workflows, eliminates manual bottlenecks, and raises overall operational efficiency for every customer session.
Here is what I expect from our collaboration:
• A concise audit of the current codebase, data flows, and cloud setup (AWS/GCP, Kubernetes micro-services, or similar).
• A future-proof architecture blueprint that shows exactly where AI components—whether Python micro-services, TensorFlow / PyTorch models, or third-party APIs—plug in.
• A phased implementation roadmap with clear milestones, risks, and success metrics tied to measurable efficiency gains.
• An initial proof-of-concept inside a staging environment demonstrating at least one key automation or optimisation feature we can benchmark.
I will provide access to repos, data samples, and our DevOps pipeline. You bring deep knowledge of scalable ML engineering, MLOps best practices, and SaaS product thinking. If you have shipped AI features that cut compute time, auto-scale intelligently, or removed repetitive tasks for end-users, tell me about it and let’s get started.
Show More