AI Consultant

An AI consultant helps a business decide where AI will actually pay off, then designs and builds it. For me that means reviewing your data and workflows, choosing the right models and architecture, and building the integration, RAG system or AI agent myself instead of handing a strategy deck to another team.

Most teams need both: someone to decide what to build and someone to build it. I do both as a senior engineer, so the person scoping the work is the same person writing the code and supporting it in production.

Custom AI development involves creating AI models and systems specifically designed for your business needs. This includes fine-tuning existing models on your data, building RAG systems with your documents, and developing AI workflows that fit into your existing processes.

RAG is ideal when you need AI to access and reason over large, frequently updated knowledge bases or documents. Fine-tuning is better when you need to change the model's behavior, style, or reasoning patterns for specific tasks. Often a combination of both works best.

Implementation timelines vary significantly based on complexity. Simple RAG systems can be deployed in days, while custom model training and enterprise integrations typically take weeks to months. The timeline depends on data preparation, model complexity, and integration requirements.

Data requirements depend on your use case. For RAG systems, you need relevant documents or knowledge bases. For fine-tuning, you need examples of inputs and desired outputs. I help assess your existing data and recommend strategies for data collection and preparation.

I use end-to-end encryption, strict access controls, and follow data protection regulations like GDPR and CCPA. Solutions can also be deployed within your own cloud environment (VPC), so your data stays under your control.

ROI measurement depends on your specific use case but typically includes metrics like time savings, accuracy improvements, cost reduction, and increased throughput. I help establish baseline metrics and tracking systems to show business value.

Yes, AI solutions benefit from ongoing monitoring and optimization. This includes performance tracking, model updates, data refreshes for RAG systems, and adapting to changing business needs. I provide maintenance plans tailored to your requirements.

The right approach depends on your specific use case, data availability, performance requirements, and budget. I assess your needs and recommend models, architectures, and an implementation approach.

Yes. I design AI architectures using cloud-native technologies and modular designs that can handle increased load as your business grows.