AI agents
Agents connected to business rules, APIs and internal workflows.
Applied AI · Remote
I build AI systems connected to real business processes: internal copilots, AI agents, document automation, semantic search over private documentation and integrations with Python/FastAPI backends.
Applied AI
Useful AI is not just a chatbot. It needs data, rules, integrations, logs, validation and a clear business process.
Agents connected to business rules, APIs and internal workflows.
Semantic search over private documentation, manuals, PDFs and internal knowledge.
Extraction, classification and summaries from emails, tickets, invoices and operational documents.
Product content, support assistants, recommendations, cart recovery and post-sale workflows.
Image analysis, content classification and visual data workflows.
AI APIs integrated into Python/FastAPI systems with logs, limits and validation.
Applied AI
The value is not in adding a chatbot. The value is in designing a controlled workflow: data, retrieval, permissions, logs, validation and integration with existing tools.
Assistants for teams that need to search private documentation, answer recurring questions, draft replies or prepare operational decisions with human review.
Semantic search and controlled answers over PDFs, manuals, catalogues, procedures, policies and technical documentation.
Classification of emails, document extraction, summaries, generated drafts, eCommerce workflows and API-connected automation with Python/FastAPI.
Method
I start by mapping the process, defining risk and building a small measurable prototype before moving to production.
Inputs, outputs, exceptions, volume, current tools and cost of error.
Model, prompts, retrieval, APIs, logging, permissions and cost control.
A small first version to validate accuracy, speed, cost and usefulness.
Integration into the real workflow with monitoring and human review where needed.