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ondrejhruby/README.md

Hi, I’m Ondrej 👋

Software Engineer (AI-Focused) with a strong background in building and scaling AI-powered products end-to-end — from frontend and backend systems to applied AI workflows running in production.

I enjoy ownership-heavy roles where I can design systems holistically, ship to real users, and work closely with product and business stakeholders.

🧠 What I work on

  • AI product engineering: LLM-based systems, document automation, STT/TTS interfaces
  • Full-stack development: React / Next.js, Python (FastAPI, Django), REST APIs
  • Production systems: authentication & authorization (RBAC, RLS), reliability, cloud deployment
  • Applied AI: building AI features that augment users rather than remain research demos

🏗️ Recent experience

Founding Engineer / Lead Software & AI Engineer — KlartextAI

  • Built and shipped multiple production AI systems for external clients
  • Designed full-stack architectures using React/Next.js, Python, PostgreSQL, Docker
  • Implemented LLM-based RAG pipelines, STT/TTS workflows, and secure client platforms

Founder & CTO — CalistFitness (B2B)

  • Building an early-stage coaching platform for professional fitness coaches
  • React Native app with Python/Django backend and Supabase (PostgreSQL)
  • Developing AI-assisted features for video-based exercise feedback and nutrition workflows

🧰 Tech stack

Languages: Python, JavaScript / TypeScript
Frontend: React, Next.js, React Native
Backend: FastAPI, Django, Node.js
AI: LLMs, RAG, embeddings, prompt engineering, applied computer vision
Data & Infra: PostgreSQL, Supabase, Docker, CI/CD, DigitalOcean, Vercel

📌 Featured projects

  • Chatbot-CalistFitness — Applied AI chatbot integrated into a product workflow
  • Ticket Submission System — Full-stack system demonstrating backend + frontend ownership
  • ML on Kubernetes — Deploying ML workloads in containerized environments
  • Applied ML projects — Computer vision and prediction systems used in real domains

(See pinned repositories below ⬇️)

📫 Get in touch

Open to Software Engineer / Full-Stack / AI-focused roles, especially with strong ownership and product impact.

Pinned Loading

  1. Fruit-Recognition Fruit-Recognition Public

    Fruit Recognition using CNN and Pre-trained Models (ResNet, VGG16, VGG19, Inception): A comprehensive deep learning project showcasing multiple approaches for classifying fruit images using custom …

    Jupyter Notebook 3 1

  2. airbnb-analysis-machine-learning airbnb-analysis-machine-learning Public

    A comprehensive end-to-end machine learning project analyzing Airbnb listings data. This project includes exploratory data analysis, model training, optimization, and model interpretability, using …

    HTML 2

  3. chatbot-calistfitness chatbot-calistfitness Public

    A Rasa-powered NLP chatbot designed to assist with personalized fitness coaching, answer frequently asked questions, and provide ongoing support to clients of CalistFitness. The bot combines knowle…

    Python 1 1

  4. Cucumber-Harvest-Prediction Cucumber-Harvest-Prediction Public

    A neural network-based project predicting cucumber harvesting time using randomly generated data for demonstration purposes. Showcasing skills in machine learning, data preprocessing, and model eva…

    Jupyter Notebook 1

  5. ticket-submission-system ticket-submission-system Public

    A Ruby on Rails Ticket Submission System with User Roles

    Ruby 1

  6. fitnessApp fitnessApp Public

    Fitness Social Media and Workout Log App (Java, node.js, LoopBack, typescript)

    Java