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Hi, I'm Kristof Horvath, a seasoned Full Stack Python Developer with a passion for backend development, AI/ML integration, and automation. Over the years, I've designed scalable backend services, deployed machine learning agents, and worked with a diverse set of technologies including TensorFlow, Flask, and various databases. I enjoy writing clean, efficient code and mentoring junior engineers to adopt best practices. I have experience building real-world applications, creating automated data pipelines, and integrating APIs to support intelligent business workflows. I'm driven by innovation and the impactful use of AI in practical settings, and I’m always keen to collaborate on challenging projects that push the boundaries of technology.…Hi, I'm Kristof Horvath, a seasoned Full Stack Python Developer with a passion for backend development, AI/ML integration, and automation. Over the years, I've designed scalable backend services, deployed machine learning agents, and worked with a diverse set of technologies including TensorFlow, Flask, and various databases. I enjoy writing clean, efficient code and mentoring junior engineers to adopt best practices. I have experience building real-world applications, creating automated data pipelines, and integrating APIs to support intelligent business workflows. I'm driven by innovation and the impactful use of AI in practical settings, and I’m always keen to collaborate on challenging projects that push the boundaries of technology.

Kristof Horvath

Full Stack Developer, Developer, AI Developer, +6

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Hi, I'm Kristof Horvath, a seasoned Full Stack Python Developer with a passion for backend development, AI/ML integration, and automation. Over the years, I've designed scalable backend services, deployed machine learning agents, and worked with a diverse set of technologies including TensorFlow, Flask, and various databases. I enjoy writing clean, efficient code and mentoring junior engineers to adopt best practices. I have experience building real-world applications, creating automated data pipelines, and integrating APIs to support intelligent business workflows. I'm driven by innovation and the impactful use of AI in practical settings, and I’m always keen to collaborate on challenging projects that push the boundaries of technology.…Hi, I'm Kristof Horvath, a seasoned Full Stack Python Developer with a passion for backend development, AI/ML integration, and automation. Over the years, I've designed scalable backend services, deployed machine learning agents, and worked with a diverse set of technologies including TensorFlow, Flask, and various databases. I enjoy writing clean, efficient code and mentoring junior engineers to adopt best practices. I have experience building real-world applications, creating automated data pipelines, and integrating APIs to support intelligent business workflows. I'm driven by innovation and the impactful use of AI in practical settings, and I’m always keen to collaborate on challenging projects that push the boundaries of technology.

Available to hire

Hi, I’m Kristof Horvath, a seasoned Full Stack Python Developer with a passion for backend development, AI/ML integration, and automation. Over the years, I’ve designed scalable backend services, deployed machine learning agents, and worked with a diverse set of technologies including TensorFlow, Flask, and various databases. I enjoy writing clean, efficient code and mentoring junior engineers to adopt best practices.

I have experience building real-world applications, creating automated data pipelines, and integrating APIs to support intelligent business workflows. I’m driven by innovation and the impactful use of AI in practical settings, and I’m always keen to collaborate on challenging projects that push the boundaries of technology.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Bashkir

Advanced

Afar

Intermediate

Work Experience

Senior Full Stack Python Developer at Goldenore

September 1, 2023 - June 30, 2025

Led the design and development of robust, scalable web architectures, integrating front-end interfaces with secure, modular back-end systems. Architected service-oriented solutions including internal and external API ecosystems to streamline data exchange and business logic across platforms. Designed efficient data storage and access strategies, ensuring high-performance query handling. Deployed and maintained production-grade applications with automated workflows for scheduled tasks and system health monitoring. Pioneered integration of large language models (LLMs) into business processes by creating modular, intelligent prompt-driven agents. Applied graph-based orchestration patterns to manage complex multi-agent interactions and enabled adaptive, stateful workflows at scale. Championed collaborative development practices via version control, CI workflows, and agile delivery cycles to ensure rapid iteration.

AI/ML Developer at iDenfy

February 1, 2020 - July 31, 2023

Designed modular ML pipelines for data preprocessing, feature engineering, model training, and evaluation. Deployed and monitored production-grade deep learning models for facial recognition with continuous improvement cycles. Developed analytical dashboards and tooling for surfacing model insights, operational metrics, and compliance anomalies to business and technical teams. Ensured reproducibility and collaboration through robust versioning of code, data, and models to facilitate agile experimentation and deployment. Contributed broadly to ML infrastructure including data quality checks, retraining triggers, and environment setup.

Software Developer at ASBIS

December 1, 2015 - December 31, 2019

Designed and deployed lightweight web applications to digitize operational processes, improve accessibility, and reduce manual documentation overhead. Orchestrated scheduled task automation via system-level job scheduling for timely data refreshes, reporting, and error alerting. Maintained structured data pipelines and SQL-based reporting to support decision-making for logistics and supply chain teams.

Senior Full Stack Python Developer at Goldenore

June 30, 2025 - July 21, 2025

Designed and implemented scalable Python-based backend services using Flask, integrated with secure, modular front-end components. Deployed machine learning-powered agents and microservices leveraging large language models, prompt engineering, and graph-based orchestration patterns for adaptive workflows. Built and managed automated data pipelines for ingestion, transformation, and model interaction, supporting real-time and batch processing. Integrated multiple RESTful APIs to support AI-driven decision-making. Used LLM frameworks like LangChain and LangGraph for orchestrating multi-agent systems capable of contextual reasoning and dynamic task coordination. Managed containerized applications with Docker, CI workflows, and system health monitoring. Optimized data models and caching for high performance. Developed vector-based retrieval systems for fast knowledge search, and created internal tools and SDKs to enable AI-powered building blocks reuse. Mentored junior engineers on full-st

AI/ML Developer at iDenfy

July 31, 2023 - July 21, 2025

Designed and maintained modular machine learning pipelines for data preprocessing, feature engineering, and evaluation using Scikit-learn, TensorFlow, and XGBoost. Built and optimized facial recognition systems with deep learning techniques, focusing on retraining based on feedback loops and model drift detection. Created internal analytics dashboards to visualize prediction performance and fraud trends. Automated model retraining triggers based on performance and data changes. Collaborated with data engineers to ensure data integrity and secure integration of external identity sources. Applied hyperparameter tuning, cross-validation, and model stacking to improve model accuracy, and reduced false positives/negatives via error analysis and mitigation strategies.

Software Developer at ASBIS

December 31, 2019 - July 21, 2025

Developed lightweight internal web applications using Python and JavaScript to digitize reporting workflows, inventory checks, and employee task tracking. Automated routine business processes with scheduled scripts and cron jobs, reducing manual overhead in sales reconciliation and shipment logging. Designed and maintained SQL-based reporting systems for finance and logistics, optimizing queries and creating custom views. Created data validation scripts to ensure consistency across warehouse records, invoices, and customer databases, identifying discrepancies in real time. Integrated third-party APIs and internal systems for real-time data syncing between on-premise databases and cloud dashboards.

Senior Full Stack Python Developer at Goldenore

June 30, 2025 - July 21, 2025

Designed and implemented scalable Python-based backend services using Flask, integrated with secure, modular front-end components. Deployed machine learning-powered agents and microservices leveraging LLMs, prompt engineering, and graph-based orchestration patterns for adaptive workflows. Built and managed automated data pipelines for ingestion, transformation, and model interaction supporting real-time and batch processing. Integrated internal and external RESTful APIs supporting AI-driven decision-making. Applied LLM frameworks like LangChain and LangGraph to orchestrate multi-agent systems capable of contextual reasoning and dynamic task coordination. Deployed containerized applications using Docker, managed CI workflows, and monitored system health. Ensured data consistency and high-performance access through optimized relational data models and caching strategies. Developed and fine-tuned vector-based retrieval systems for fast knowledge search. Wrote internal tools and SDKs to ac

AI/ML Developer at iDenfy

July 31, 2023 - July 21, 2025

Designed and maintained modular ML pipelines for data preprocessing, feature engineering and evaluation using Scikit-learn, TensorFlow, and XGBoost. Built and optimized facial recognition systems incorporating deep learning with retraining based on feedback loops and model drift detection. Created internal analytics dashboards to visualize prediction performance and surface anomalies providing real-time insights into fraud trends. Implemented automated retraining triggers based on performance metrics and data distribution changes improving model reliability. Collaborated with data engineers to ensure data integrity, applied secure data transformations, and integrated external identity sources into pipelines. Applied hyperparameter tuning, cross-validation, and model stacking to improve accuracy. Conducted error analysis and implemented mitigation to reduce false positives and negatives in high-risk scenarios.

Software Developer at ASBIS

December 31, 2019 - July 21, 2025

Developed internal web applications using Python and JavaScript to digitize reporting workflows, inventory checks, and task tracking. Automated routine business processes with scheduled scripts and cron jobs reducing manual overhead in sales reconciliation and shipment logging. Designed SQL-based reporting systems for finance and logistics teams optimizing queries and creating custom views. Created data validation scripts for warehouse records, invoices, and customer databases identifying discrepancies in real time. Integrated third-party APIs and internal systems for real-time syncing between on-premise databases and cloud dashboards.

Senior Full Stack Python Developer at Goldenore

September 1, 2023 - Present

Designed and implemented scalable Python-based backend services using Flask, integrated with secure, modular front-end components. Deployed machine learning-powered agents and microservices leveraging LLMs, prompt engineering, and graph-based orchestration for adaptive workflows. Built and managed automated data pipelines for ingestion, transformation, and model interaction, supporting real-time and batch processing. Integrated internal and external RESTful APIs to support AI-driven decision-making. Applied frameworks like LangChain and LangGraph to orchestrate multi-agent systems with contextual reasoning. Deployed containerized applications using Docker, managed CI workflows, and monitored system health and task scheduling. Ensured high-performance access through optimized data models and caching. Developed vector-based retrieval systems for fast knowledge search. Wrote internal tools and SDKs for AI-powered components and mentored junior engineers on best practices.

AI/ML Developer at iDenfy

July 31, 2023 - July 21, 2025

Designed and maintained modular ML pipelines for data preprocessing, feature engineering, and evaluation using Scikit-learn, TensorFlow, and XGBoost. Built and optimized facial recognition systems with deep learning and retraining based on feedback loops and model drift detection. Created internal dashboards for real-time fraud trend analytics. Implemented automated retraining triggers improving model reliability. Collaborated with data engineers to ensure data integrity and secure integration of external identity sources. Applied hyperparameter tuning, cross-validation, and model stacking to improve accuracy. Conducted detailed error analysis and implemented strategies to reduce false positives and negatives in high-risk scenarios.

Software Developer at ASBIS

December 31, 2019 - July 21, 2025

Developed lightweight internal web applications using Python and JavaScript for digitizing reporting workflows, inventory checks, and employee task tracking. Automated routine business processes with scheduled scripts and cron jobs, reducing manual overhead in sales reconciliation and shipment logging. Designed and maintained SQL reporting systems for finance and logistics, optimizing queries and creating custom views. Created data validation scripts ensuring consistency across warehouse records and customer databases to identify discrepancies in real time. Integrated third-party APIs and internal systems for real-time data syncing between on-premise databases and cloud dashboards.

Senior AI/ML Engineer at Goldenore

September 1, 2023 - Present

Designed and implemented scalable Python-based backend services using Flask, integrated with secure, modular front-end components. Deployed machine learning-powered agents and microservices, leveraging LLMs, prompt engineering, and graph-based orchestration patterns for adaptive workflows. Built and managed automated data pipelines for ingestion, transformation, and model interaction, supporting real-time and batch processing. Integrated internal and external RESTful APIs, supporting AI-driven decision-making across multiple business processes. Applied LLM frameworks like LangChain and LangGraph to orchestrate multi-agent systems capable of contextual reasoning and dynamic task coordination. Deployed containerized applications to production using Docker, managed CI workflows, and monitored system health and task scheduling. Ensured data consistency and high-performance access through optimized relational data models and intelligent caching strategies. Developed and fine-tuned vector-ba

AI/ML Engineer at iDenfy

July 31, 2023 - August 4, 2025

Designed and maintained modular ML pipelines for data preprocessing, feature engineering and evaluation using Scikit-learn, TensorFlow, and XGBoost. Built and optimized facial recognition systems, incorporating deep learning techniques and regular retraining based on feedback loops, model drift detection. Created internal analytics dashboards to visualize prediction performance, surface anomalies, and provide stakeholders with real-time insights into fraud trends. Implemented automated model retraining triggers based on performance metrics and input data distribution changes, improving long-term model reliability. Collaborated with data engineers to ensure data integrity, apply transformations, and integrate external identity sources securely into model pipelines. Applied hyperparameter tuning, cross-validation, and model stacking techniques to improve accuracy across classification and detection tasks. Conducted in-depth error analysis and implemented mitigation strategies to reduce f

Software Engineer at ASBIS

December 31, 2019 - August 4, 2025

Developed lightweight internal web applications using Python and JavaScript to digitize reporting workflows, inventory checks, and employee task tracking. Automated routine business processes using scheduled scripts and cron jobs, reducing manual overhead in areas like sales reconciliation and shipment logging. Designed and maintained SQL-based reporting systems for finance and logistics teams, optimizing queries and creating custom views. Created data validation scripts to ensure consistency across warehouse records, invoices, and customer databases, helping identify discrepancies in real time. Integrated third-party APIs and internal systems to enable real-time data syncing between on-premise databases and cloud dashboards.