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Harunercul/README.md

Harun Ercul — Senior AI Engineer, Istanbul

I build production AI infrastructure: multi-model orchestration, agentic systems, and the plumbing that makes LLMs cheap and reliable at scale.

  • JAI Portal — AI marketplace unifying 500+ models. Built solo; 200+ countries, ~$60K/month.
  • Chat.JAIPortal — 100+ LLMs in one product: side-by-side Chat Arena, an MCP agent that builds apps, 21+ integrations.
  • Libranotes — meeting bots for Meet, Zoom and Teams; diarized transcripts in 32 languages; agentic RAG with citations. Built solo.
  • RL for games — custom RL model serving real-time actions to an Unreal Engine 5 game; core of a ~30M TL TÜBİTAK R&D project.

Now building → argrouter — an LLM router that picks the model and reasoning effort per query from accuracy and real billed cost. Submitted to the RouterArena router leaderboard (under review).

50+ internal agents and pipelines

Game live-ops

  • Live-ops automation — scheduled, multi-stage pipelines that run campaigns, battle-pass seasons, missions, offers and timed pricing end to end, with translation and cache invalidation
  • Trading-card art pipeline — image-model generation constrained by rarity and numbering rules

Growth intelligence

  • ASO intelligence — App Store search, autocomplete, reviews and charts, snapshotted into time series
  • Early ad-performance prediction — hourly Meta Ads features feeding a model that calls winners and losers hours after launch
  • Cohort alerting — attribution cohorts in, anomaly alerts out, with an LLM-written brief
  • Trend and signal tooling — TikTok trend studio, social signal reports, PR media monitoring

Agents in operations

  • Talent intelligence — embedding search with LLM reranking over candidate profiles
  • Inbox triage — LLM classification of inbound mail, Slack escalation, scheduled follow-ups
  • Creative operations — multi-account creative upload across ad platforms; resume-safe async generation pipelines

Python · FastAPI · PyTorch · LLM orchestration · RAG · MCP · speech pipelines · Docker — LinkedIn

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  1. Chat-Amy Chat-Amy Public

    Chatbot

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  2. Face-Recognition-Attendance-System Face-Recognition-Attendance-System Public

    A face recognition system developed with Python Flask, which has input and output buttons, can display the image either locally or on an HTML page. The face recognition system uses the K-Nearest Ne…

    1

  3. Renk-Tespiti-Ve-Kisi-Takip-Sistemi Renk-Tespiti-Ve-Kisi-Takip-Sistemi Public

    Projemizin amacı kişilerin üstüne giydikleri kıyafetlerin renklerini tespit edip devamında bu kişilerin farklı mekanlarda veya aynı mekanlarda person1,2,3 ve kaç adet insan varsa üstündeki ve dış g…

    Python 1

  4. YoloV8-Custom-Dataset-Train YoloV8-Custom-Dataset-Train Public

    1

  5. Blip-2-Fine-Tuned-and-Custom-Dataset Blip-2-Fine-Tuned-and-Custom-Dataset Public

    Jupyter Notebook

  6. Kriminal-Olaylarin-Azaltilmasi- Kriminal-Olaylarin-Azaltilmasi- Public

    Kriminal olayların azaltılması suçla mücadele