RAG System Development

Production-grade retrieval systems that actually find the right answer.

What's included

  • Hybrid retrieval (BM25 + semantic + Own ML layer)
  • Semantic chunking strategy
  • Vector DB setup & indexing
  • Neural reranking pipeline
  • Recency & relevance scoring
  • Query intent classification

Who it's for

SaaS companies, media platforms, enterprise knowledge bases, legal/compliance tools.

Typical project scope

Typically 4–10 weeks depending on corpus size and complexity.

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LLM Integration & Custom AI Workflows

Add AI capabilities to your product without rebuilding it from scratch.

What's included

  • OpenAI / Claude / open-source LLM integration
  • Document Q&A and summarisation
  • Chatbot and assistant development
  • Prompt engineering and optimisation
  • Hallucination mitigation patterns
  • Multi-step AI workflow design

Who it's for

Product teams adding AI features, startups building AI-first products, businesses automating document workflows.

Typical project scope

2–6 weeks for integration; longer for full product builds.

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AI Automation Systems

Replace manual, repetitive work with intelligent automated pipelines.

What's included

  • Document processing pipelines
  • Data extraction and classification
  • AI-powered content workflows
  • Scheduled intelligence reports
  • API integrations with AI enrichment
  • Monitoring and alerting systems

Who it's for

Operations teams, content businesses, data-heavy startups, newsrooms.

Typical project scope

3–8 weeks depending on workflow complexity.

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Full-Stack AI SaaS Development

From idea to deployed AI product — I own the full stack.

What's included

  • Product architecture and planning
  • AI/ML backend (Python, FastAPI)
  • Frontend (React, Next.js)
  • Database design (SQL, NoSQL, Vector)
  • Authentication, billing, multi-tenancy
  • Deployment and CI/CD setup

Who it's for

Founders building AI-first products, companies launching internal AI tools.

Typical project scope

8–16 weeks for MVP; ongoing retainer available.

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Consulting & Technical Advisory

Expert guidance on AI architecture, team upskilling, and build-vs-buy decisions.

What's included

  • AI architecture review
  • RAG and LLM system design
  • Code and pipeline audits
  • Team workshops and training
  • Vendor and tool evaluation
  • CTO-as-a-service for early-stage startups

Who it's for

CTOs, engineering leads, non-technical founders, teams evaluating AI adoption.

Typical project scope

Hourly, weekly retainer, or project-based.

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