Ondrej Hruby
About Me
Software Engineer with a strong AI focus, building and scaling AI-powered products end-to-end across frontend, backend, cloud infrastructure, and applied AI workflows. I enjoy ownership-heavy roles where I can design systems holistically, ship to production, and work closely with product and business stakeholders.
10
Happy
Clients
13
People
Mentored / Led
100
Complete
Projects
Skills
Programming Languages
Python
100%
React
100%
SQL
100%
React Native
90%
Java
100%
Javascript / Typescript
100%
Node.js
90%
R
90%
Angular
85%
Machine Learning Frameworks & Tools
Tensorflow
100%
Keras
90%
Scikit-learn
90%
PyTorch
85%
Data Analysis & Visualization Tools
Pandas
100%
Matplotlib
95%
NumPy
95%
SciPy
90%
Seaborn
90%
Jupyter
90%
Deployment & Tools
Git
100%
Docker
100%
Rest API
90%
Kubernetes
70%
DigitalOcean
100%
Experience
Founding Engineer / Lead Software & AI Engineer
KlartextAI | Mar 2025 - Mar 2026
- Owned technical execution as the first employed engineer, helping transition from early prototypes to client-driven AI products used in production.
- Architected AI-powered web applications using React/Next.js, Python (FastAPI), Supabase (PostgreSQL), DigitalOcean, and Vercel.
- Shipped production AI systems including STT/TTS interactive avatars, LLM-based RAG pipelines, and AI-assisted document processing workflows.
- Implemented secure platforms with RBAC and row-level security (RLS) for client-facing CRM and proposal-generation tools.
- Delivered multiple long-term client projects for 4+ external clients and supported engineering standards as the team scaled.
Founder & CTO
AmplifyWare (B2B) | 2025 - Present
- Building an early-stage fitness coaching platform under active development, targeting professional coaches (B2B).
- Architected a React Native mobile app with a Python/Django backend and Supabase (PostgreSQL).
- Developing AI-assisted services for video-based exercise feedback, meal image verification, and personalized training/nutrition suggestions.
- Managing and mentoring a team of 5 interns, overseeing architecture decisions, code quality, and delivery.
Data Engineer / Full Stack Developer
Next Generation Sensors | Sep 2023 - Jul 2024
- Built Python-based microservices and real-time dashboards for industrial sensor systems.
- Developed an Angular dashboard for live monitoring and control, improving operational efficiency by ~30%.
- Worked closely with technical and non-technical stakeholders to translate requirements into scalable solutions.
Lead Developer
GreenTechLab | Mar 2023 - Jul 2023
- Led development of an IoT-enabled dashboard using React Native and MongoDB for real-time operational insights.
- Improved operational throughput by 35% and reduced incidents by 40% through data-driven product improvements.
- Owned the technology stack and delivery process for a real-time sensor data system.
Lead Data Scientist
Yookr | Aug 2022 - Jan 2023
- Led a data science team in analyzing and transforming cucumber growth datasets, applying data preprocessing techniques to prepare data for modeling.
- Developed predictive models using neural networks (CNNs) in Python, improving the accuracy of cucumber harvest predictions, which enhanced yield quality by 25%.
- Conducted data exploration and feature engineering, extracting relevant features and generating actionable insights for optimizing harvest schedules.
- Trained and evaluated models, adjusting hyperparameters and tuning models for performance optimization to ensure reliable predictions.
Junior Data Scientist
RxDiet | Aug 2021 - Jan 2022
- Built data pipelines and structured inputs for optimization / RL-based meal planning workflows.
- Improved processing efficiency and data quality through pipeline refactoring and validation.
What I Do
AI Product Engineering
Build AI-powered product features that ship: LLM workflows, RAG search, document pipelines, and human-in-the-loop automation integrated into real user journeys.
Full-Stack Delivery
End-to-end development across React/Next.js and Python backends (FastAPI/Django), designing robust APIs, authentication, data models, and scalable architectures.
Productionization & Reliability
Cloud deployments, CI/CD, Docker, performance, and security patterns (RBAC/RLS) to keep systems reliable in production.
AI UX (Speech, Docs, Vision)
Applied AI interfaces like STT/TTS, document automation, and image/video-based feedback systems designed to augment users rather than replace them.
Projects
- All
- AI Products
- Full-Stack
- Applied AI
- DevOps
KlartextAI – Production AI Systems
LLM workflows (RAG), STT/TTS avatars, secure RBAC/RLS platforms, document automation.
(Case study available on request)
AmplifyWare – B2B Coaching Platform
React Native + Django + Supabase. AI-assisted coaching workflows.
(In active development)
Testimonial
Ondrej is a pleasant person to work with. He has profiled himself as a colleague and knows how to appreciate the hierarchy. Also knows how to use the organization where you can get input and answers. Is punctual (on time and attends appointments), sociable (does not sit at his desk with earplugs). The analytical start of the project certainly made an impression. In short, completely satisfied and we wish Ondrej every success in the rest of his career.
Kees van Gorsel
New Business DeveloperContact Me
Feel free to reach out using the form below.