Artyom Narimanyan-Senior Software & Cloud Consultant
Check rate
Experience
AI Automation Engineer & Solution Architect
Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
AI Engineer
Technology Research Project
Designed and developed a Retrieval-Augmented Generation (RAG) system for intelligent question answering based on proprietary knowledge sources. The solution combined modern embedding models, vector databases, and Large Language Models (LLMs) to retrieve relevant information and generate context-aware responses.
- Designed and implemented a RAG solution using Python and Flask
- Developed REST APIs for semantic search and AI-powered question answering
- Integrated embedding models for document vectorization
- Built a ChromaDB-based vector knowledge base
- Integrated Large Language Models (LLMs) for context-aware response generation
- Optimized retrieval, ranking, and response quality
Technologies: Python, Flask, ChromaDB, Embeddings, all-MiniLM-L6-v2, RAG, LLMs, Prompt Engineering, REST APIs
Senior Java / Cloud Engineer
Financial Services
Developed and maintained a cloud-native microservices platform supporting payment processing and data integration within an international financial services environment. The project focused on implementing new business capabilities, API integration, and building a scalable event-driven architecture using Apache Kafka.
- Developed and maintained Java Spring Boot microservices
- Designed and implemented REST and SOAP APIs
- Designed event-driven workflows and Apache Kafka topics
- Integrated and optimized Microsoft SQL Server databases
- Contributed to architecture decisions for new services and platform enhancements
- Performed root cause analysis, troubleshooting, and performance optimization of production systems
Technologies: Java, Spring Boot, Kafka, MSSQL, REST, SOAP, Git, Bitbucket, Scrum
Cloud & Software Architect
Media
Designed and developed a scalable cloud-based online library that enabled users to retrieve data through REST APIs. The solution was built with Java Spring Boot and deployed on AWS using Elastic Beanstalk and Amazon EKS. Automated CI/CD pipelines and comprehensive monitoring ensured reliable deployments and high platform availability.
- Designed and implemented the backend architecture
- Developed REST APIs with validation, error handling, and versioning
- Integrated MySQL for persistent data storage
- Containerized the application using Docker and Kubernetes
- Designed and automated CI/CD pipelines on AWS
- Managed cloud infrastructure using Terraform and Helm
- Implemented monitoring and alerting with Prometheus and Grafana
Technologies: Java, Spring Boot, MySQL, Docker, Kubernetes, Terraform, Helm, AWS EKS, AWS Elastic Beanstalk, AWS ECR, AWS CodePipeline, AWS CodeBuild, Prometheus, Grafana
Cloud & Software Architect
Automotive
Led the migration of a legacy monolithic application running on JBoss to a scalable, cloud-native microservices architecture. The transformation included the transition from JBoss to Docker and ultimately to Amazon EKS, enabling improved scalability, resilience, and automated deployments through modern DevOps practices.
- Designed and executed the migration from JBoss to Kubernetes
- Transformed monolithic components into Spring Boot microservices
- Developed and deployed cloud-native backend services
- Implemented horizontal scaling and load balancing strategies
- Managed database schema migrations using Liquibase
- Built and maintained automated CI/CD pipelines with Jenkins
- Performed unit, integration, and regression testing
- Produced technical architecture and migration documentation
Technologies: Java EE, Spring Boot, Docker, Kubernetes, AWS EKS, Jenkins, Liquibase, Oracle, MySQL, Gradle, JUnit
Project Lead | Cloud & Software Architect
Food & Beverage
Designed and developed a cloud-native microservices platform for real-time document management. The solution was built with Java Spring Boot, Docker, and AWS, and included an Android application for monitoring the document lifecycle. As part of the project, the data platform was migrated from Firebase Realtime Database to a scalable AWS-based infrastructure using MongoDB.
- Designed and developed a Java Spring Boot microservices architecture
- Containerized applications using Docker and Docker Compose
- Led the migration from Firebase Realtime Database to AWS and MongoDB
- Designed and implemented an event-driven messaging architecture
- Implemented real-time communication using Firebase and Pusher
- Built scalable AWS cloud infrastructure
- Developed an Android application for document management using Kotlin
- Automated build and deployment processes with GitLab CI/CD
Technologies: Java, Spring Boot, MySQL, MongoDB, Docker, Docker Compose, AWS VPC, AWS S3, AWS Load Balancer, Firebase, Pusher, GitLab CI/CD, Android, Kotlin
Cloud & Software Engineer
Media
Migrated an on-premises marketing platform to AWS, containerized existing services, and optimized the platform for improved scalability and data analytics. The project also included the development of Apache Kafka-based data pipelines for social media KPIs and predictive analytics using Python and scikit-learn.
- Migrated existing systems from on-premises infrastructure to AWS
- Containerized services using Docker and Docker Compose
- Migrated and optimized relational databases
- Developed data pipelines for social media KPI processing
- Implemented Kafka-based event-driven data processing
- Collaborated with the data science team on machine learning solutions
- Developed predictive models using Python and scikit-learn
- Built and maintained automated CI/CD pipelines
Technologies: AWS EC2, AWS RDS, AWS Redshift, AWS S3, AWS CloudWatch, Docker, Docker Compose, Ansible, GitLab CI/CD, PostgreSQL, MySQL, Kafka, Python, scikit-learn
Software Engineer
Logistics
Developed a vehicle routing optimization system for travel agencies using mathematical optimization and graph theory to enable efficient route planning. The solution included a Java Spring-based backend, a web application for route management, and an Android application for real-time passenger tracking.
- Developed routing services using Java and Spring
- Modeled and implemented complex route optimization algorithms
- Applied graph theory and mathematical optimization techniques to vehicle routing problems
- Conducted benchmarking and performance analysis
- Developed a web application for route management and monitoring
- Integrated the Google Maps API for geospatial routing
- Developed an Android application for real-time passenger tracking
- Supported build and deployment processes
Technologies: Java, Spring 4, Hibernate, Glassfish, MySQL, Ember.js, TypeScript, Bootstrap, Google Maps API, Android, Maven, CentOS, Graph Theory, Simplex Method
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Banking and Finance, Media and Entertainment, Information Technology, Automotive, Transportation, and Tourism.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Product Development, Business Intelligence, Operations, Logistics, and Project Management.
Summary
Senior Software & Cloud Consultant with over 14 years of experience in developing cloud-native applications, distributed systems, and modern software architectures.
Core Expertise: Software development and architecture for large-scale enterprise projects.
Skills
Architecture & Solution Design
Cloud-Native Software Architectures
Microservice Architectures
Event-Driven Architectures
Cloud Migrations And System Modernization
Api Design And System Integration
Software Development
Backend: Java (Ee, 8, 11, 17, 21), Spring, Spring Boot, Python (Flask)
Frontend: Typescript, Javascript, Vue.Js, Ember.Js
Cloud & Platforms
Aws: Eks, Ec2, S3, Rds, Iam, Vpc
Azure: Aks, Azure Active Directory, Azure Log Analytics
Gcp: Firebase Realtime Database
Ai & Automation
Rag (Retrieval-Augmented Generation)
Ai Agents
N8n Workflow Automation
Llm Integration
Data & Integration
Mssql, Postgresql, Oracle, Mysql, Mongodb
Apache Kafka
Rest Apis, Soap
Devops & Observability
Docker, Kubernetes
Terraform, Helm
Jenkins, Github Actions, Gitlab Ci/Cd
Prometheus, Grafana, Appdynamics
Methodologies
Scrum, Agile
Languages
Education
Technical University of Kaiserslautern
Master of Science · Information and Communication Systems · Germany
Yerevan State University
Bachelor of Science · Informatics and Applied Mathematics · Armenia
Certifications & licenses
Statistics
Experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Artyom is based in Ludwigsburg, Germany and can operate in on-site, hybrid, and remote work models.
Artyom speaks the following languages: Armenian (Native), German (Advanced), English (Advanced), Russian (Advanced).
Artyom has at least 11 years of experience. During this time, Artyom has worked in at least 7 different roles and for 6 different companies. The average length of individual experience is 1 year and 5 months. Note that Artyom may not have shared all experience and actually has more experience.
Based on recent experience, Artyom would be well-suited for roles such as: AI Automation Engineer & Solution Architect, AI Engineer, Senior Java / Cloud Engineer.
Artyom's most recent position is AI Automation Engineer & Solution Architect at Technology Research Project.
In recent years, Artyom has worked for Technology Research Project, Financial Services, Media, and Automotive.
Artyom is most experienced in industries like Media and Entertainment, Banking and Finance, and Information Technology. Artyom also has some experience in Transportation, Tourism, and Automotive.
Artyom is most experienced in business areas like Information Technology, Product Development, and Business Intelligence. Artyom also has some experience in Operations, Logistics, and Project Management.
Artyom has recently worked in industries like Banking and Finance, Automotive, and Information Technology.
Artyom has recently worked in business areas like Information Technology, Product Development, and Research and Development.
Artyom holds a Master in Information and Communication Systems from Technical University of Kaiserslautern and a Bachelor in Informatics and Applied Mathematics from Yerevan State University.
Artyom has 2 certificates. These include: Microsoft Certified: Azure AI Fundamentals and Microsoft Certified: Azure Fundamentals.
Artyom will be available full-time from September 2026.
Daily rate distribution
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Average rates for similar positions
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The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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