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Arman M. AWS, React and AI Platforms

My name is Arman M. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Java, TypeScript, node.js, React, Next.js, etc.. I hold a degree in Bachelor of Arts (BA). Some of the notable projects I’ve worked on include: Van4x4 mobile multiplayer card game, Jira AI Assistant. I am based in Tallinn, Estonia. I've successfully completed 2 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • AWS, React and AI Platforms

    4 years

  • Java

    3 Years

  • TypeScript

    3 Years

  • Node.js

    3 Years

Direct hire

Potentially possible

Previous Company

Pipedrive

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Experience Highlights

Van4x4 mobile multiplayer card game

Developed and released a multiplayer mobile game for iOS and Android, built independently from concept to production. Designed the core gameplay loop, matchmaking system, and in-app chat to support real-time interaction between players. Implemented the frontend in React Native and the backend in Node.js/TypeScript, ensuring stable multiplayer sessions and smooth user experience. Deployed services on cloud infrastructure with scalable architecture to handle growing user activity. The game is currently available for free, gathering feedback from live players to guide future updates.

Jira AI Assistant

Developed an AI-powered project management automation tool that transforms Jira data into a knowledge graph for smarter insights. Built an ingestion pipeline from Jira to Neo4j with MySQL for raw storage, modeling tickets, epics, and dependencies. Implemented LLM-driven features such as semantic tagging and relations, text-to-Cypher translation, and an AI chatbot for natural language queries. Deployed Node.js/TypeScript microservices on AWS ECS with Docker. Added Google Gemini semantic indexing to boost accuracy, enabling teams to uncover hidden links and patterns across projects.

Education

  • Al-Farabi Kazakh National University

    Bachelor of Arts (BA) in Mathematics

    1996-01-01-2001-01-01

Languages

  • English