HIK.
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Candidate summary

Halil İbrahim Kurnaz

AI Software Engineer · Istanbul, Turkey

I'm an AI Software Engineer specializing in agentic AI ecosystems, backend architecture, and production-ready GenAI platforms. I architect scalable RAG pipelines, multi-agent orchestrations, and robust tool-calling workflows that turn raw LLM capabilities into real, enterprise-grade products.

Experience

  • Product Management Bootcamp Participant · TurkNetSeptember 2026 to November 2026
  • Backend AI Engineer Intern · FlyRank AIJune 2026 to September 2026
  • AI Engineer · AI Business SchoolNovember 2025 to February 2026
  • Business Analyst & Conversational AI Designer · CBOTOctober 2024 to January 2025
  • Intern, Flo Gen Digital Internship Program · FLO GroupAugust to September 2026
  • Intern, QNB 101 Online Internship Program · QNB TürkiyeAugust to September 2026

Flagship projects

  • FlowOne: AI Agent Orchestration Platform · Lead Architect & DeveloperLead architect of an AI-native SaaS platform with Agent Studio, Workflow Studio, and Voice AI.https://useflowone.com/
  • PinMind: Multi-Agent Orchestration Framework · Creator & MaintainerA LangGraph-based framework for context-aware agent routing, planning and task orchestration, with reusable workflows, shared memory and an extensible tool-integration layer for autonomous, multi-step execution.https://github.com/hhalilikurnaz/pinmind-web
  • Drone Fire Watch: Aerial Fire & Smoke Detection · Graduation ProjectGraduation project: a YOLOv8-L detector trained on the 21K-image D-Fire dataset (precision, recall and mAP50 ≈ 0.80), served by FastAPI to a React operations dashboard and a Streamlit field reporter.https://github.com/hhalilikurnaz

Skills

AI & Agentic Systems
LLMs & Agentic AI, RAG Architectures, LangGraph, Tool-Calling, Prompt Engineering, Deep Learning, Computer Vision, ElevenLabs & Twilio
Backend
Python, Node.js, FastAPI, SQL, Java, C/C++
Frontend
React, TypeScript, JavaScript, Flutter, Next.js
Infrastructure
Docker, PostgreSQL, MongoDB, Alembic, Cloudflare R2, CI/CD, Vercel

Education

B.Sc. in Software EngineeringIstanbul Aydın University · Graduated 202614 certificates (AI, cloud, data), verifiable on the portfolio

Suggested interview questions

  1. FlowOne promises a provider outage never drops a request. Walk us through what happens to one request when the model API returns 503s.
  2. How is retrieval isolated per tenant in FlowOne's pgvector layer, and how would you prove it in a test?
  3. Drone Fire Watch reached mAP50 ≈ 0.80. What limited it, and which false positives were hardest to remove?
  4. Your job system uses lock-based idempotency and 3 retries with backoff. What happens if a worker dies while holding the lock?
  5. This portfolio splits job-fit analysis into four agents with an offline fallback. Why agents instead of one prompt, and what does it cost?
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