Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am an experienced AI engineer with over seven years of expertise in machine learning and data science. My specialty lies in generative AI applications spanning conversational AI, computer vision, and agricultural technology. Throughout my career, I've successfully deployed production-ready AI systems that deliver tangible business value, ranging from fashion e-commerce visual search solutions to intelligent chatbots. I excel at transforming complex AI research into scalable, user-facing applications, grounded in deep learning, natural language processing, and MLOps best practices. My work consistently combines technical innovation with practical implementation to solve real-world problems and enhance user experiences.…I am an experienced AI engineer with over seven years of expertise in machine learning and data science. My specialty lies in generative AI applications spanning conversational AI, computer vision, and agricultural technology. Throughout my career, I've successfully deployed production-ready AI systems that deliver tangible business value, ranging from fashion e-commerce visual search solutions to intelligent chatbots. I excel at transforming complex AI research into scalable, user-facing applications, grounded in deep learning, natural language processing, and MLOps best practices. My work consistently combines technical innovation with practical implementation to solve real-world problems and enhance user experiences.

Richárd Katona

AI Engineer, Data Scientist, Developer, +2





I am an experienced AI engineer with over seven years of expertise in machine learning and data science. My specialty lies in generative AI applications spanning conversational AI, computer vision, and agricultural technology. Throughout my career, I've successfully deployed production-ready AI systems that deliver tangible business value, ranging from fashion e-commerce visual search solutions to intelligent chatbots. I excel at transforming complex AI research into scalable, user-facing applications, grounded in deep learning, natural language processing, and MLOps best practices. My work consistently combines technical innovation with practical implementation to solve real-world problems and enhance user experiences.…I am an experienced AI engineer with over seven years of expertise in machine learning and data science. My specialty lies in generative AI applications spanning conversational AI, computer vision, and agricultural technology. Throughout my career, I've successfully deployed production-ready AI systems that deliver tangible business value, ranging from fashion e-commerce visual search solutions to intelligent chatbots. I excel at transforming complex AI research into scalable, user-facing applications, grounded in deep learning, natural language processing, and MLOps best practices. My work consistently combines technical innovation with practical implementation to solve real-world problems and enhance user experiences.

Available to hire

I am an experienced AI engineer with over seven years of expertise in machine learning and data science. My specialty lies in generative AI applications spanning conversational AI, computer vision, and agricultural technology. Throughout my career, I’ve successfully deployed production-ready AI systems that deliver tangible business value, ranging from fashion e-commerce visual search solutions to intelligent chatbots.

I excel at transforming complex AI research into scalable, user-facing applications, grounded in deep learning, natural language processing, and MLOps best practices. My work consistently combines technical innovation with practical implementation to solve real-world problems and enhance user experiences.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hungarian

Fluent

Work Experience

AI Engineer at dotLinkers

April 30, 2025 - July 9, 2025

Developed an AI-powered phone call bot leveraging state-of-the-art LLMs combined with STT and TTS technologies, achieving over 91% accuracy in speech recognition and reducing manual call handling by 60%. Optimized the Bark model using ONNX and TensorRT, achieving real-time processing with latency reduced to 250 milliseconds. Designed and implemented a scalable backend architecture using Docker and Kubernetes, deployed on Fly.io ensuring 99.9% uptime and handling over 10,000 calls per day with real-time processing. Collaborated with cross-functional teams to integrate AI capabilities into existing CRM and telephony systems, improving customer satisfaction scores by 15%.

AI/ML Engineer at Pixyle.ai

December 31, 2023 - July 9, 2025

Developed NLP pipelines in Python to automatically generate enriched product descriptions and SEO-friendly tags using transformer models (BERT, GPT-2), improving product discoverability by 15%. Built semantic search engine leveraging sentence embeddings and vector databases for natural language queries, enhancing user search relevance and boosting engagement by 10%. Implemented STT and TTS prototypes for voice-enabled product search and virtual shopping assistants, enabling hands-free user experiences in pilot projects. Optimized data preprocessing and annotation workflows with Python scripts, improving dataset quality for downstream ML models. Deployed and monitored NLP models with FastAPI and AWS SageMaker, maintaining low latency and high availability. Mentored junior engineers on NLP best practices and transformer fine-tuning techniques.

Data Scientist at AgroSense

June 30, 2020 - July 9, 2025

Developed LSTM-based forecasting model using TensorFlow to predict frost and overheating risks, reduced false positives by 37%. Built end-to-end pipeline for soil moisture prediction using multi-sensor time series data, improved irrigation efficiency by 28%. Deployed object detection model (YOLOv4 + OpenCV) to identify pest presence from trap images, achieved 89% F1-score. Designed data ingestion and ETL pipeline from meteorological stations and soil sensors into PostgreSQL. Integrated automated irrigation control using ML-driven logic based on root-zone sensor input and rainfall forecast, reduced water waste by 20%. Partnered with domain experts to fine-tune ML models for crop nutrient optimization, increasing yield by 15%.

Generative AI Engineer at Chatmantics USA

January 1, 2024 - Present

Architected and deployed a production-grade conversational AI system handling over 10,000 daily interactions across Voice, SMS, and social media. Implemented an advanced retrieval-augmented generation (RAG) pipeline using LangChain and vector databases, which improved response accuracy by 35% and reduced customer acquisition costs by 22%. Developed a custom prompt engineering framework with tool calling capabilities, facilitating seamless integration with CRM and marketing automation via n8n workflows.

Machine Learning Engineer at Pixyle.ai NLD

December 31, 2023 - August 8, 2025

Led development of computer vision models for fashion item recognition and automated product tagging, processing over 2 million images per month. Created a deep learning pipeline using PyTorch and CNNs achieving 92% accuracy in fashion attribute classification. Delivered a visual search API serving 500+ fashion retailers, boosting conversion rates by 28%. Optimized model inference using ONNX and Kubernetes, reducing latency by 60% and scaling to 10,000+ concurrent requests. Collaborated with product teams to integrate AI solutions via REST APIs.

Data Scientist at AgroSense

June 30, 2020 - August 8, 2025

Developed predictive models for crop yield optimization using sensor data from more than 500 agricultural sites in Hungary. Built machine learning pipelines processing IoT sensor data to optimize irrigation and fertilization schedules. Created a data visualization dashboard enabling farmers to make data-driven decisions, improving crop yields by 18%. Implemented time-series forecasting models for pest detection and disease prevention, reducing crop losses by 25%. Designed ETL pipelines using Apache Airflow and automated reporting workflows with Zapier for multimodal agricultural data processing.