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Achievements

Achievement: Pull SharkAchievement: YOLO

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huseyinkaplandev/README.md

Huseyin Kaplan

AI-Native Full-Stack Engineer 路 RAG & Evaluation Systems 路 TypeScript/Node.js + Python

I build full-stack products and bounded AI reference systems with TypeScript, React/Next.js, Node.js, Python, and PostgreSQL. Based in Istanbul.

Selected work

Relay Desk

Live deterministic TypeScript support operations console with cited responses, structured action proposals, human approval gates, and an explicitly synthetic evaluation dashboard.

Live demo

Agent Runtime Bench

One agent policy implemented twice, as a hand-written tool-calling loop and as a LangGraph state graph, benchmarked against a deterministic model across three scenarios. Identical behaviour, 94% more code for the graph. Turborepo, TypeScript, benchmark enforced as a CI gate.

Live demo

LLM Reliability Lab

Public deterministic LLM reliability and evaluation harness covering citation checks, expected-fact coverage, abstention, latency, and estimated cost.

Live demo

Production RAG & Evals Reference

Deterministic RAG and evaluation reference implementation with citations, abstention, offline evaluation, tests, Docker, and CI. It is not a production customer system.

Live demo

Tedavio AI

Founder-built clinic AI MVP with bounded product and reliability workflows.

Stack

  • TypeScript, React, Next.js, Node.js
  • Python, PostgreSQL, Supabase
  • Docker, GitHub Actions, Playwright, Vercel

Contact

Portfolio 路 LinkedIn 路 Email

Pinned Loading

  1. production-rag-evals production-rag-evals Public

    Hybrid RAG reference with RRF, citations, abstention, offline evals, FastAPI, Docker, and CI.

    Python

  2. ai-support-ops-console ai-support-ops-console Public

    Deterministic AI support operations console with cited streaming, approval gates, synthetic evals, and CI

    TypeScript

  3. llm-reliability-lab llm-reliability-lab Public

    Deterministic evals for citations, grounding, abstention, latency and LLM cost

    Python

  4. agent-runtime-bench agent-runtime-bench Public

    Native tool-calling loop vs LangGraph state graph: same policy, deterministic model, measured side by side.

    TypeScript