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9helix/README.md

Dino Gržinić

CS grad student · Junior Software Developer · Croatia

Focused on AI/ML model development and production pipelines — with a background across full-stack, mobile, and infrastructure work.

Projects

Project What it does
TLENet YOLO-based detection of Transient Luminous Events in atmospheric images
GMNmeteorNet CNN pipeline for meteor classification in Global Meteor Network camera feeds
astro-local-rag Local RAG chatbot for astronomy — concepts, history, missions, methods
MeteorLog Android app for logging visual meteor observations, exports to IMO-compatible CSV

Homelab

Designed and maintained a Docker-based homelab with 20+ services (Forgejo, Vaultwarden, Matrix, Open WebUI, Ollama) using Traefik as a reverse proxy, CrowdSec intrusion detection, and Authelia for SSO/2FA. Infrastructure is monitored with Grafana, InfluxDB, and Uptime Kuma. Check it out at home.foobardevs.com.

Tech

AI/ML: Python · TensorFlow · PyTorch · YOLO · RAG pipelines
Web & mobile: React · Vue.js · Django · Flutter · TypeScript · Kotlin
Infrastructure: Docker · Linux · Traefik · Cloudflare · Git

Currently contributing to Global Meteor Network.

grzinicdino@gmail.com · LinkedIn

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  1. TLENet TLENet Public

    Scripts for training YOLO models for dataset with images of TLEs (Transient Luminous Events).

    Python

  2. astro-local-rag astro-local-rag Public

    Local RAG-powered chatbot for astronomy information (concepts, methods, history, projects/missions,...)

    Python

  3. MeteorLog MeteorLog Public

    Android app for generating CSV files of visual observations of meteors for submitting to IMO website.

    C++ 2

  4. ollama-chatbot-platform ollama-chatbot-platform Public

    JavaScript

  5. GMNmeteorNet GMNmeteorNet Public

    Set of files used for preprocessing and training an ML model for binary meteor classification of meteor candidates on GMN images.

    Python 1 2

  6. aarbanas/red-cross-evidence aarbanas/red-cross-evidence Public

    TypeScript