What does it take to run an LLM feature in production?

Structured outputs validated against schemas, retries with exponential backoff, fallback providers for when a model or API degrades, cost and latency monitoring per request, and observability that lets you trace any answer back to its prompt and context. ScamMinder runs a 14-phase verification pipeline with GPT-4o classification this way — 20,000+ domains analyzed with sub-6-second analysis and 99.9% uptime.

How do you build RAG systems that retrieve the right context?

Ingestion pipeline, chunking tuned to the document type, embeddings, vector storage (pgvector for most workloads, a dedicated vector database at larger scale), retrieval with re-ranking, and generation with citations. Hybrid search — vector plus keyword — usually beats either approach alone, and an evaluation set catches retrieval regressions before your users do.

Which model providers do you work with?

OpenAI (GPT-4o), Anthropic Claude, and Google Gemini, plus OpenRouter for routing across providers. Recent builds include GPT-4o classification in ScamMinder, an OpenRouter-driven AI SEO platform, GPT-4 sales assistance in Chasr, and Gemini-powered video validation for a creator monetization platform.

How do you keep AI inference costs under control?

Route each task to the cheapest model that meets its quality bar, cache aggressively, batch background work through job pipelines instead of on-demand calls, cap token budgets per request, and monitor spend per feature — so a cost spike is an alert, not a surprise on the invoice.

Can you add AI features to an existing SaaS product?

Yes — much of this work is integration, not greenfield. The AI SEO platform publishes into 8 different CMSs through a single adapter layer, and Chasr wires GPT-4 into an existing HubSpot-based sales workflow. AI features should slot into your current architecture, not force a rewrite.

What does an AI SaaS engagement cost?

Most engagements start around $5K; smaller well-scoped work is considered case-by-case. Book a call or email me and you'll have a reply within 24 hours.

Service · AI SaaS

AI SaaS Development

RAG systems. AI agents. LLM applications that survive production.

Shipping an AI demo is easy. Shipping an AI SaaS that stays fast, accurate, and affordable under real traffic is a different discipline — one proven across ScamMinder (20,000+ domains analyzed, sub-6s analysis, 99.9% uptime), an AI SEO platform running 13 background pipelines, and AI sales tooling used by 50+ reps.

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55+

Projects Shipped

100%

Job Success

Top Rated Plus

On Upwork

The challenge

The gap between an LLM demo and a production AI product is enormous. Demos ignore hallucination rates, latency spikes, provider outages, token cost blowouts, and what happens when the model returns something unexpected. A production AI SaaS needs structured outputs, fallback providers, observability, and cost controls designed in from the first commit — not patched on after the first outage.

What I build

RAG Systems

Retrieval-augmented generation over private data — chunking, embeddings, hybrid search, re-ranking, and answers with citations

AI Agents

Multi-step agents with tool use, guardrails, human escalation paths, and full traceability

LLM Application Development

Classification, extraction, generation, and chat features with structured, schema-validated outputs

AI SaaS MVPs

Complete products around an AI core — auth, billing, dashboards, and the model pipeline itself

AI Pipelines & Background Jobs

Durable queued workloads for enrichment, generation, and publishing at scale

Distribution Surfaces

Chrome extensions, Telegram bots, and public APIs that put your AI product where users already are

Tech stack

TypeScriptNext.jsNode.jsPostgreSQLSupabasepgvectorOpenAI GPT-4oClaude APIGeminiOpenRouterInngestStripe

Relevant work

How we work

Most MVPs ship in 3–6 weeks; complex platforms are scoped individually once the requirements are clear.

Intro Call

A 30-minute conversation about your project, goals, and timeline. No commitment either way.

Scoped Proposal

A written scope, architecture outline, and quote. I respond to every message within 24 hours.

Weekly Demos

You see working software every week, with written progress updates in between. No black boxes.

Ship & Handover

Deployment, documentation, and a clean handover — you own everything I build.

Compliance & standards

GDPR-aware data handlingPII redaction pipelinesEU data residency availableSOC 2 ready architecture

Frequently asked questions

Ready to start?

Book a free 30-minute call. No sales pitch — just a direct conversation about your project.

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Or email: contact@waseemahmad.dev