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SPATIAL
COMPACT
SOFTWARE ENGINEER

MURAD HUSEYNLI

Software Engineer with an MSc in Computer Science and 4+ years of experience building scalable SaaS applications and high-performance middleware. Proficient in Node.js and Vue.js ecosystems. Power user of AI-driven development tools (Claude Code, Gemini CLI), leveraging agentic workflows to reduce feature development time by 40%, refactor legacy codebases, and maintain rigorous code quality.

Get In Touch Download CV
MURAD HUSEYNLI

Technical Skills

01 // LANGUAGES

JavaScript (ES6+)TypeScriptPythonGoSQL

02 // FRONTEND

Vue.jsNuxt.jsReactAngularPiniaTailwind CSS

03 // BACKEND

Node.jsExpress.jsDjangoREST APIsGraphQLGo HTTP

04 // DATABASES & QA

MySQLPostgreSQLMongoDBVitestPlaywrightDockerCI/CD

05 // AI & WORKFLOWS

Claude CodeGemini CLIAgentic CodingPrompt Engineering

Work Experience

Frontend Engineer
Fleetenergies | Sep 2025 – Present
  • Engineered the core frontend foundation of the flagship SaaS platform, building automated design-to-engineering frameworks and strict AI safety guardrails to ensure high-velocity delivery.
  • Assumed primary technical ownership and maintenance of critical enterprise logistics modules, ensuring zero service disruption for high-value B2B clients.
  • Served as Squad Lead (April–May 2026) to stabilize a 4-developer unit during restructuring. Currently act as the primary technical coordinator, directing sprint tasks and mentoring remaining engineers.
  • Accelerated feature development by 40% and reduced overhead by integrating advanced AI-driven workflows (Claude Code, Gemini CLI) directly into strict architectural boundaries.
Software Engineer
Insta Advertising Kft | Oct 2022 – Aug 2025
  • Architected a zero-downtime migration from a legacy flat-table to a fully normalized relational schema, integrating 15+ external affiliate APIs and processing 10,000+ daily conversions.
  • Ensured 100% financial data integrity by bypassing corrupted legacy data and backfilling the new database via retrospectively triggered data pipelines.
  • Built mission-critical Node.js middleware to synchronize postbacks between in-house services and external trackers, utilizing multi-column indexing for sub-second latency.
  • Rapidly prototyped a custom Vue.js dashboard for campaign management using AI-assisted code generation to meet aggressive MVP timelines.
Frontend Developer
BITE Consulting Services – GLEX Delivery | Nov 2021 – Aug 2022
  • Modernized a legacy PHP/jQuery MVC application by rebuilding the frontend as a Nuxt.js SSR application, improving UI intuitiveness and modularity.
  • Integrated dynamic dashboards and optimized MySQL queries, reducing page load time by 40%.
  • Improved codebase maintainability by enforcing strict coding standards and replacing hard-coded legacy scripts with scalable design patterns.

EDUCATION

MSc, Computer Science Engineering
Budapest University of Technology and Economics, Feb 2025
Thesis: Multi-tenant, event-driven recommendation infrastructure using Django, RabbitMQ, and MongoDB.
BSc, Computer Engineering
Baku Engineering University, Jun 2022
Computer Engineering Graduate.

Projects

E-Commerce Recommendation Engine (MSc Thesis)
Architected a multi-tenant, event-driven recommendation infrastructure using Django, RabbitMQ, and MongoDB.
PYTHON / DJANGO / RABBITMQ / MONGODB
View Source
Upcoming Projects
More case studies and open-source tools are currently being added.
IN PROGRESS

Contact

GET IN TOUCH

Budapest, Hungary

SEND MESSAGE
SOFTWARE ENGINEER

MURAD HUSEYNLI

Software Engineer with an MSc in Computer Science and 4+ years of experience building scalable SaaS applications and high-performance middleware. Proficient in Node.js and Vue.js ecosystems. Power user of AI-driven development tools (Claude Code, Gemini CLI), leveraging agentic workflows to reduce feature development time by 40%, refactor legacy codebases, and maintain rigorous code quality.

Get In Touch Download CV
# Technical Skills
LANGUAGES
JavaScript (ES6+)TypeScriptPythonGoSQL
FRONTEND
Vue.jsNuxt.jsReactAngularPiniaTailwind CSS
BACKEND
Node.jsExpress.jsDjangoREST APIsGraphQLGo HTTP
DATABASES & QA
MySQLPostgreSQLMongoDBVitestPlaywrightDockerCI/CD
AI & WORKFLOWS
Claude CodeGemini CLIAgentic CodingPrompt Engineering
@ INFO

4+ Years

Commercial Exp.

Budapest, HU
/ Work Experience

Frontend Engineer at Fleetenergies

  • Engineered the core frontend foundation of the flagship SaaS platform, building automated design-to-engineering frameworks and strict AI safety guardrails to ensure high-velocity delivery.
  • Assumed primary technical ownership and maintenance of critical enterprise logistics modules, ensuring zero service disruption for high-value B2B clients.
  • Served as Squad Lead (April–May 2026) to stabilize a 4-developer unit during restructuring. Currently act as the primary technical coordinator, directing sprint tasks and mentoring remaining engineers.
  • Accelerated feature development by 40% and reduced overhead by integrating advanced AI-driven workflows (Claude Code, Gemini CLI) directly into strict architectural boundaries.
Sep 2025 – Present

Software Engineer at Insta Advertising Kft

  • Architected a zero-downtime migration from a legacy flat-table to a fully normalized relational schema, integrating 15+ external affiliate APIs and processing 10,000+ daily conversions.
  • Ensured 100% financial data integrity by bypassing corrupted legacy data and backfilling the new database via retrospectively triggered data pipelines.
  • Built mission-critical Node.js middleware to synchronize postbacks between in-house services and external trackers, utilizing multi-column indexing for sub-second latency.
  • Rapidly prototyped a custom Vue.js dashboard for campaign management using AI-assisted code generation to meet aggressive MVP timelines.
Oct 2022 – Aug 2025

Frontend Developer at BITE Consulting Services – GLEX Delivery

  • Modernized a legacy PHP/jQuery MVC application by rebuilding the frontend as a Nuxt.js SSR application, improving UI intuitiveness and modularity.
  • Integrated dynamic dashboards and optimized MySQL queries, reducing page load time by 40%.
  • Improved codebase maintainability by enforcing strict coding standards and replacing hard-coded legacy scripts with scalable design patterns.
Nov 2021 – Aug 2022
* Projects

E-Commerce Recommendation Engine (MSc Thesis)

Architected a multi-tenant, event-driven recommendation infrastructure using Django, RabbitMQ, and MongoDB.

PYTHON / DJANGO / RABBITMQ / MONGODB
View Source

Upcoming Projects

More case studies and open-source tools are currently being added.

IN PROGRESS