Practice Area · AI Automation
AI Automation Engineer
Production AI pipelines with status-gated validation, multi-stage LLM processing, and fault tolerance in Python and AWS. Schedule a call.
Core Scope & Focus
Workflows that connect your tools, APIs, databases, and LLMs, and keep working when inputs are messy or services fail.
Common Production Challenges Solved
- 01.Repetitive manual work across tools that don't talk to each other
- 02.AI steps that return unparseable or inconsistent output
- 03.Pipelines that silently drop records when an API times out
- 04.No visibility into where a run failed or what state it left behind
Technology Stack & Tooling
Pythonn8nMake.comPostgreSQLAWSOpenRouterOpenAIGeminiGroq
Documented Production Proof
- ✓28,000+ production records processed through a status-gated LLM enrichment pipeline
- ✓5.6x processing speedup after reworking ETL for concurrency
- ✓12+ Make.com AI automation flows built in production
Related Case Studies
Interested in discussing AI Automation?
Available for technical consultations, hands-on pipeline engineering, or comprehensive QA audits.
Schedule a Technical Call