AI and Data Engineering

We combine software engineering with AI delivery to build real production systems. This includes model training pipelines, retrieval workflows, evaluations, and secure rollout patterns.

Core stack

PythonPyTorchLLMsVector DatabasesRAGMLOps

Capabilities

LLM application architecture with retrieval and guardrails
Model training, fine-tuning, and evaluation workflows
Data pipeline engineering for structured and unstructured sources
Monitoring and feedback loops for AI output quality

Common use cases

Internal assistants for support and operations teams
Document intelligence and knowledge search products
Forecasting and recommendation workflows for business systems

Related technology areas

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