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September 20, 2025 19:12
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Szabolcs Szekely CV
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| Szabolcs Székely | |
| Budapest, Hungary LinkedIn, X: @helloszekely | |
| Full-Stack Developer delivering production-grade software with focus on backend services, RESTful APIs, | |
| and cloud deployments. Strong TypeScript/Node.js background, actively expanding Python and Azure. | |
| SKILLS | |
| Languages & Frameworks: TypeScript, JavaScript (ES6+), Python (expanding), Node.js, React, Next.js, SQL | |
| Databases: PostgreSQL, MySQL, NoSQL, Vector Databases, Supabase, Pinecone | |
| Cloud & DevOps: Git, Docker, GCP, AWS, Azure (learning), CI/CD, REST APIs, Prisma ORM | |
| AI & ML: LangChain, Vercel AI SDK, Vector Embeddings, RAG Systems, LLM Integration, Semantic Search | |
| Data Engineering: ETL/ELT pipelines, Data modeling, Vector databases (pgvector), Real-time processing, Schema design | |
| Other: English (Fluent - 10 years international), Hungarian (Native), Romanian (Native) Development Tools: GitHub Copilot, AI-assisted development, LLM integration for productivity Productivity Tools: Jira, Figma, Adobe Illustrator, Photoshop | |
| WORK EXPERIENCE | |
| Lead Developer - BlueFX (Contract) April 2025 - August 2025 - Remote | |
| ● AI-powered platform integrating 12 different AI models in 5 months | |
| ● Connected multiple AI services via Replicate API and external providers for video generation | |
| ● Implemented real-time updates, optimistic UI patterns, and modern Next.js best practices | |
| ● Delivered production system handling 100+ daily API requests with reliable uptime | |
| ● Tech: TypeScript, React, Node.js, Docker, CI/CD pipelines | |
| Co-Founder & CTO - FinanceRants | |
| February 2024 - December 2024 - Remote - Live Preview: https://financerants.com | |
| ● Architected and developed AI-powered financial assessment platform from concept to production | |
| ● Built backend services for ML model integration and personalized recommendation engine | |
| ● Implemented adaptive AI assistant using LangChain and vector databases | |
| ● Designed database schema and optimization strategies for user profiles | |
| ● Tech: Next.js, TypeScript, PostgreSQL, Prisma ORM, AI/ML APIs, Docker, Kubernetes, GCP | |
| Software Developer - Independent February 2020 - Present - Remote | |
| ● Developed multiple SaaS platforms including domain marketplace using Vendure (enterprise e-commerce framework) | |
| ● Attended Vendure conference in Vienna, implementing framework for year-long project (2023) | |
| ● Built domain Marketplace managing 50K+ assets with automated pricing algorithms and Stripe | |
| Connect payment integration. | |
| ● Developed Context Architecture methodology reducing codebase complexity and cognitive load | |
| ● Designed system blueprints using Model Context Protocol (MCP) | |
| ● Delivered production-ready systems, with outcomes varying based on business execution | |
| ● Tech Stack: TypeScript, Node.js, React, Vendure, PostgreSQL, Docker, GCP, AWS | |
| AI/ML Engineer - QCR (Quantum Circuit Repository) August 2025 - Present - Budapest, HU | |
| ● Building data pipeline integrating ArXiv papers with LinkedIn insights for research analytics | |
| ● Implementing semantic search with vector embeddings (pgvector) for intelligent categorization | |
| ● Developing RESTful APIs and real-time data processing services | |
| ● Created interactive analytics dashboard with LLM-powered chat interface | |
| ● Tech: TypeScript, React, Node.js, PostgreSQL, Prisma ORM, Supabase, pgvector, Azure (learning), | |
| Python (upcoming) | |
| EDUCATION | |
| Self-Directed Learning in Software Development | |
| August 2018 - current - Budapest, HU | |
| Focus areas: Machine Learning, Quantum Computing basics, Distributed Systems, Software Architecture Currently expanding: Python for enterprise applications, Azure cloud services | |
| Proven track record of rapidly mastering new technologies as needed |
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