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# Iurii Bulanov

**Headline:** Software Engineer \| Backend Engineer \| AI Engineering \| Cloud
**Profession:** Research Assistant — EEG Signal Processing & Machine Learning
**Location:** United States

## About

Iurii Bulanov is a software engineer focused on backend systems, developer tooling, automation, cloud infrastructure, and AI\-assisted applications\. Iurii is currently leaning toward AI engineering while remaining open to backend and full\-stack work, particularly in lean, fast\-moving teams where he can take ownership across multiple responsibilities\. His professional work includes improving enterprise software, APIs, data systems, deployment workflows, internal engineering tools, performance, and CI/CD processes\. Iurii’s strongest areas combine applied AI with practical software engineering\. He has built a Jira analytics pipeline that evolved into an AI\-powered system using vector search, and he has experience with MCP server development, Qdrant, embeddings, AI agents, Python, Jenkins, and the Jira API\. His academic background includes three years of machine\-learning research on EEG\-based seizure detection, connecting model experimentation with production\-oriented engineering\. He holds a BSc in Computer Science from Eötvös Loránd University and completed several Master’s\-level courses alongside the degree\. His core stack includes Java, Python, Go, Spring Boot, PostgreSQL, MongoDB, Kafka, Docker, Kubernetes, and cloud and CI/CD tooling\.

## Services

- Prompt Engineering
- Agentic AI Development
- Agentic Workflows
- Agentic Automation
- Kibana
- Elastic Stack \(ELK\)
- Elasticsearch
- Logstash
- Confluence
- Data Processing
- CRM Databases
- Cloud Computing
- Cloud Applications
- Customer Relationship Management \(CRM\)
- B2B Software
- Webhooks
- Point of Sale \(POS\) Systems
- System Integration
- REST APIs
- Qdrant
- Kubernetes
- Ansible
- C\+\+
- Databases
- Linux
- Formal Languages
- Competitive Programming
- JavaScript
- Formal Semantics
- Data Analysis

## Highlights

- Built a Jira analytics pipeline that evolved into an AI\-powered system with vector search\.
- Has experience developing MCP servers and working with Qdrant, embeddings, vector databases, and AI agents\.
- Conducted three years of machine\-learning research during his bachelor’s degree on seizure detection in EEG signals\.
- Worked as a Software Engineer at Ericsson\.
- Worked as a Software Engineer at Service\-D\.
- Served as a Research Assistant in EEG Signal Processing and Machine Learning at Eötvös Loránd University’s Faculty of Informatics\.
- Holds a BSc in Computer Science from Eötvös Loránd University and completed several Master’s\-level courses alongside the degree\.
- Develops enterprise software, APIs, data systems, deployment workflows, internal engineering tools, and AI\-assisted applications\.
- Brings backend, full\-stack, performance\-optimization, CI/CD, cloud\-infrastructure, and automation experience\.
- Works primarily with Java, Python, Go, Spring Boot, PostgreSQL, MongoDB, Kafka, and Docker\.

## Experience

- **Research Assistant — EEG Signal Processing & Machine Learning at Eötvös Loránd University \- Faculty of Informatics** (2025\-09\-01–2026\-06\-01)
- **Software Engineer at Ericsson** (2025\-03\-01–2026\-04\-01)
- **Software Engineer at Service\-D** (2022\-08\-01–2024\-12\-01)

## Education

- Bachelor of Science, Computer Science — Eötvös Loránd University (2023\-09\-01–2026\-07\-01)

## FAQ

### What does Iurii do?

Iurii is a software engineer specializing in backend systems, developer tooling, automation, cloud infrastructure, and AI\-assisted applications\. He is currently especially interested in AI engineering, while remaining open to backend and full\-stack roles\.

### What are Iurii’s core software\-engineering strengths?

Iurii develops and improves enterprise software, APIs, data systems, deployment workflows, internal engineering tools, and automation\. His experience spans backend and full\-stack development, performance optimization, CI/CD, cloud infrastructure, and AI\-assisted tooling\.

### What is Iurii’s AI engineering experience?

Iurii is experienced in both building production AI systems and experimenting with models and research\. His AI\-related work includes prompt engineering, agentic AI development, agentic workflows, agentic automation, MCP server development, embeddings, vector search, Qdrant, and AI agents\.

### What project is Iurii most proud of?

Iurii built a Jira analytics pipeline that developed into an AI\-powered system with vector search\. The work involved Python, Jenkins, the Jira API, Qdrant, embeddings, and AI\-agent\-related capabilities\.

### What was Iurii’s role at Ericsson?

Iurii worked as a Software Engineer at Ericsson\. He has also previously worked at Ericsson, as reflected in his professional background\.

### What was Iurii’s role at Service\-D?

Iurii worked as a Software Engineer at Service\-D\.

### What research did Iurii conduct at Eötvös Loránd University?

Iurii served as a Research Assistant in EEG Signal Processing and Machine Learning at the Faculty of Informatics at Eötvös Loránd University\. His bachelor’s\-degree research covered seizure detection in EEGs and amounted to three years of machine\-learning research experience\.

### What is Iurii’s education?

Iurii holds a Bachelor of Science in Computer Science from Eötvös Loránd University\. His LinkedIn education record lists the degree with 2026, and he completed several Master’s\-level courses alongside the bachelor’s degree\.

### What programming languages and application\-development technologies does Iurii use?

Iurii works primarily with Java, Python, Go, Spring Boot, PostgreSQL, MongoDB, Kafka, and Docker\. He also has experience with JavaScript, TypeScript, AngularJS, FastAPI, Groovy, C\+\+, HTML, Linux, databases, back\-end web development, and web development\.

### What cloud, delivery, and engineering\-tooling experience does Iurii have?

Iurii has worked with CI/CD and engineering platforms including Jenkins, GitLab, Gerrit, Jira, Confluence, Ansible, Kubernetes, Docker, and cloud computing and cloud applications\. He also has experience with Kibana, the Elastic Stack \(ELK\), Elasticsearch, and Logstash\.

### What data, integration, and business\-systems technologies has Iurii worked with?

Iurii has experience with PostgreSQL, MongoDB, Qdrant, CRM databases, data processing, data analysis, REST APIs, webhooks, system integration, customer relationship management, B2B software, and point\-of\-sale systems\.

### What machine\-learning technologies does Iurii use?

Iurii’s machine\-learning toolkit includes scikit\-learn, PyTorch, Pandas, XGBoost, and Optuna\. His work has included EEG signal processing, seizure detection, machine learning, AI\-assisted applications, and experimentation with models\.

### What are Iurii’s computer\-science foundations?

Iurii has a strong foundation in data structures, algorithms, formal languages, formal semantics, and C\+\+\. He developed this foundation through competitive programming and informatics olympiads\.

### How does Iurii approach unfamiliar or emerging technology?

Iurii is comfortable working with bleeding\-edge technology and improvising practical solutions\. He is motivated by making products faster and more functional and has experience taking ownership of systems with limited guidance\.

### What team environment does Iurii prefer?

Iurii prefers lean, scrappy small teams where he can move quickly, wear multiple hats, and contribute across engineering responsibilities\.

### What does Iurii do outside of software engineering?

Outside software engineering, Iurii plays electric guitar and enjoys discovering new music\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/iurii\-bulanov

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