03 / Services
Two things, done well.
01
AI Systems
Language models wired into production systems that reason, retrieve, and act.
- →LLM integration & prompt engineering
- →RAG architectures & vector search
- →Autonomous agents & tool use
- →Local model deployment (Ollama)
- →LangChain / LlamaIndex pipelines
02
Automation Pipelines
Workflows that replace repetitive work — from data collection to multi-step API orchestration.
- →n8n workflow design & self-hosting
- →Custom Python scrapers & collectors
- →Gmail, Calendar & third-party API integrations
- →End-to-end data pipeline orchestration
- →FastAPI + Docker backends
04 / Process
How work gets done.
01Discover
Map the problem
Audit existing workflows, identify bottlenecks, and define the exact scope — before touching a line of code.
02Architect
Design the system
Choose the right stack, sketch data flows, and agree on interfaces. Decisions made here save weeks later.
03Build
Ship incrementally
Python backends, containerised services, tested at every layer. You see working software early.
04Ship
Deploy & hand off
Live on Kubernetes or AWS. Monitoring wired. Documentation written. You get the keys.