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Huseyin Kaplan

Istanbul, Türkiye · AI-native full-stack

Reliable AI systems,
built end to end.

AI-native full-stack engineer with 4+ years of software engineering experience. I build product interfaces and backend workflows with TypeScript, Node.js, and Python, with public work in retrieval, citations, abstention, and deterministic LLM evaluation.

  • 4+ years in software engineering
  • TypeScript / Node.js + Python
  • RAG · Evals · Product delivery
Applied AINext.jsTypeScriptNode.jsPythonRetrievalPostgreSQLLLM EvaluationReliabilityProduct Delivery
PublicRunnable references
TestedRetrieval contracts
GroundedCitations and abstention
CIRegression gates
Expertise

AI-native delivery across product, frontend, backend, and evaluation.

  • Retrieval-backed features with explicit citation contracts
  • Deterministic evaluation for grounding and abstention
  • Accessible product interfaces for complex workflows
  • Typed APIs and maintainable delivery across the stack
React Node TypeScript Python
Reliability by design

Failure behavior belongs in the product contract.

My public references make retrieval and evaluation behavior inspectable: cited source IDs, explicit no-context abstention, deterministic fixtures, typed reports, and CI gates.

Public proof

Engineering evidence a reviewer can inspect.

The featured work is intentionally runnable, deterministic, and explicit about where reference behavior ends and production hardening begins.

Relay Desk is a live TypeScript support operations console with cited streaming, structured actions, human approval gates, failure recovery, and clearly labeled synthetic evaluations.

Live product proof

LLM Reliability Lab evaluates citation validity, expected-fact coverage, abstention, latency SLOs, and estimated model cost without an API key or LLM judge.

Deterministic evaluation

Production RAG & Evals is a reference implementation for chunking, deterministic embeddings, lexical and vector ranking, RRF, citations, abstention, offline retrieval evaluation, and Dockerized delivery.

Retrieval reference