Hi, I’m Balázs Barkó, an Applied AI Solution Architect focused on turning cutting-edge research into production-ready systems. I specialize in translating complex business needs into scalable AI architectures, designing high-throughput pipelines, and orchestrating multi-agent workflows to deliver measurable ROI. I thrive at the intersection of deep-tech R&D and enterprise-grade delivery, always aiming to optimize value for stakeholders. As the founding engineer and tech lead at INTEQ, I bridge client requirements with engineering execution—from feature licensing models to resilient, self-healing cloud infrastructure. I enjoy helping teams ship value quickly while maintaining rigorous quality, profitability, and a clear ROI.

Balázs Barkó

Hi, I’m Balázs Barkó, an Applied AI Solution Architect focused on turning cutting-edge research into production-ready systems. I specialize in translating complex business needs into scalable AI architectures, designing high-throughput pipelines, and orchestrating multi-agent workflows to deliver measurable ROI. I thrive at the intersection of deep-tech R&D and enterprise-grade delivery, always aiming to optimize value for stakeholders. As the founding engineer and tech lead at INTEQ, I bridge client requirements with engineering execution—from feature licensing models to resilient, self-healing cloud infrastructure. I enjoy helping teams ship value quickly while maintaining rigorous quality, profitability, and a clear ROI.

Available to hire

Hi, I’m Balázs Barkó, an Applied AI Solution Architect focused on turning cutting-edge research into production-ready systems. I specialize in translating complex business needs into scalable AI architectures, designing high-throughput pipelines, and orchestrating multi-agent workflows to deliver measurable ROI. I thrive at the intersection of deep-tech R&D and enterprise-grade delivery, always aiming to optimize value for stakeholders.

As the founding engineer and tech lead at INTEQ, I bridge client requirements with engineering execution—from feature licensing models to resilient, self-healing cloud infrastructure. I enjoy helping teams ship value quickly while maintaining rigorous quality, profitability, and a clear ROI.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Hungarian
Fluent
English
Fluent

Work Experience

Founding Engineer & Tech Lead at INTEQ ZRT
July 1, 2023 - Present
Designed and deployed a modular AI-SaaS platform using LangGraph for autonomous agents (schedulers, extraction loops) and RAG chatbots integrated with enterprise knowledge bases (ERP/CRM). Served as the primary bridge between international clients (EMEA, LATAM) and the engineering team; translated high-level business pains into a Feature-as-a-Service licensing model. Optimized retrieval accuracy by 32% via a hybrid search architecture (dense + semantic search). Established a 70% profit margin by developing granular COGS models to track token usage and AI runtime. Built self-healing Kubernetes infrastructure handling 10x traffic spikes with robust CI/CD processes.
Lead Application Engineer at DELTA CSOPORT
February 1, 2022 - July 1, 2023
Directed deployment of IBM AI workloads on bare-metal OpenShift; reduced industrial logistics latency from 60 minutes to under 1 minute using custom computer vision systems. Collaborated with industrial partners to calibrate 3D measurement systems (SICK VPS) in high-noise environments, achieving 1-3 cm precision.
Software Engineer at QUEST, ONEIDENTITY HUNGARY
May 1, 2021 - February 1, 2022
Developed a C-based MQTT connector for the open-source syslog-ng project, enabling a major US railway to adopt the product. Increased system throughput by 50% (from 120k to 180k msg/sec) through disk-assisted buffering and backpressure management.
Junior Software Developer at ASTRON KFT
April 1, 2020 - May 1, 2021
Re-engineered safety-critical APIs and distributed systems for the Finnish Railway, implementing custom HashTable structures to minimize lookup latency. Ported mission-critical C applications from legacy Windows to Linux to improve performance and cross-platform compatibility.

Education

BSc in Computer Science at Eötvös Loránd University (ELTE), Hungary
January 11, 2030 - January 1, 2023
Budapest DATA + ML Forum (2025) – Generative AI applications in ISO auditing at Budapest DATA + ML Forum
January 1, 2025 - January 1, 2025
BSc in Computer Science at Eötvös Loránd University (ELTE), Hungary
January 11, 2030 - January 1, 2023
BSc in Computer Science at Eötvös Loránd University (ELTE)
January 11, 2030 - January 1, 2023

Qualifications

Budapest DATA + ML Forum 2025 - Generative AI applications in ISO auditing
January 1, 2025 - May 18, 2026

Industry Experience

Software & Internet, Professional Services, Manufacturing, Computers & Electronics, Media & Entertainment, Education

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more