Hire the Best QuickFIX Specialists
in Serbia

Your n8n workflow works - until it needs a custom API connector, proper error handling, or logic no built-in node covers. That's usually where automation breaks, because most "n8n experts" have never written backend code. I'm a backend developer with 7+ years building production systems, now focused on automation and API integration. I build workflows that don't just connect apps - they handle edge cases, retries, auth, and the messy parts of real APIs. What I do: - n8n workflow design, debugging, custom node/API integration - REST API integration (auth flows, webhooks, rate limits, error handling) - Lightweight backend services (Python/FastAPI) to fill gaps no-code tools can't - Standalone Python scripts, data processing/analysis, and small backend tools - even outside of automation/integration work -Docker-based deployment for reliable, repeatable automation I've worked on GCP-based production systems and understand what breaks automations at scale - not just how to wire two apps together. Also open to smaller, self-contained Python projects - scripts, data cleanup/analysis, quick backend features - with or without any automation platform involved. If your automation keeps failing on edge cases, or you need something beyond drag-and-drop, let's talk about your workflow.

🎯 I turn repetitive video production into automated pipelines that run without anyone touching them — subtitling, encoding, and template-driven video generation for media companies, broadcasters, and content creators. ⭐ Top Rated · 100% Job Success · 54 projects delivered · 5.0 · 13+ years in broadcast engineering Using FFmpeg, Python, Node.js, React, Remotion, After Effects scripting, Whisper AI, and n8n, I've built high-throughput FFmpeg pipelines (CPU & GPU — NVENC/CUDA), API-driven After Effects rendering systems, and AI-powered speech-to-text captioning workflows. If it's a repetitive video task, I turn it into a script that scales. ▸ WHAT I AUTOMATE FOR YOU • After Effects — JSX/ExtendScript, aerender pipelines, template-driven video generation • AE → Remotion pipelines — convert After Effects templates into server-side React/Remotion renders (props for text, image, video, alpha overlays; multi-language output) • FFmpeg — encoding, compression, watermarking, format conversion (NVENC/CUDA) • Video generation APIs — automated rendering pipelines & queue systems (Remotion, Node.js, FastAPI) • Subtitles & captions — generate, convert, burn-in (SRT, WebVTT) powered by Whisper AI • n8n workflows — connecting your tools into one hands-off automated flow • Live production — OBS/vMix consulting, ATEM switching, Blackmagic DeckLink integration • Playout & ingest — SDI and file-based/IP workflows • Media asset management — LTO archiving & long-term storage ▸ WHY CLIENTS KEEP HIRING ME • 13+ years in live broadcast — I've shipped under real deadlines, not just in theory • Led a team of 13 engineers — I document properly and deliver production-ready systems • Performance-obsessed: GPU acceleration, parallel processing, efficient encoding • I speak both "editor" and "engineer" — bridging creative workflows and backend automation 🌍 Based in Serbia, working with clients worldwide. 🚀 Tell me the repetitive task eating your time — I'll show you how to automate it. Send me a message and let's scope it out.

I build scalable backend systems, data pipelines, and automation platforms used by SaaS, fintech, and e-commerce companies. With 14+ years of backend engineering experience, I specialize in designing high-performance APIs, distributed ETL pipelines, and large-scale automation infrastructure. $500K+ earned on Upwork across 270+ projects building backend systems and data platforms. Key strengths: • Backend architecture (Python, FastAPI, Node.js, .NET, PostgreSQL, Supabase, Celery/RabbitMQ/Redis) • Data pipelines & ETL systems • AI integrations and RAG pipelines on vector databases (pgvector, Pinecone, Qdrant) • Large-scale data extraction and reverse engineered APIs • Distributed workers and automation infrastructure I focus on performance, reliability, and long-term maintainability, delivering backend platforms that grow with the business and remain stable under heavy load. Core technologies Python, FastAPI, Node.js, .NET, PostgreSQL, Redis, Supabase, Qdrant, Pinecone, Docker, Celery, RabbitMQ, Playwright, Selenium, Scrapy, REST APIs, GraphQL, ETL pipelines, RAG, vector search, distributed workers, cloud infrastructure (AWS/GCP/Azure), LLM, Langchain, Langraph, Langfuse, BMAD

I work on backend systems where things need to work reliably in production. My focus is on: AI integrations (RAG pipelines, OpenAI, automation workflows) backend APIs (Python / FastAPI / Laravel) payment systems (Stripe, subscriptions, webhooks, transaction flows, Cards, SEPA,...) system stabilization and production issue fixing Recently, I’ve been building: RAG-based systems with hybrid retrieval (Qdrant + OpenSearch) AI automation workflows and API services payment integrations with complex billing logic and webhook handling backend architectures for scalable systems diffusion-based workflows, LoRA training, and model-serving setups for practical AI use cases I don’t approach projects as “just coding tasks.” Most problems I work on involve: broken flows unreliable integrations scaling issues unclear architecture decisions If something is not working as expected, I focus on finding the root cause and fixing it properly, not patching symptoms. Typical things I help with: fixing Stripe subscriptions, payments, and webhook issues building or stabilizing AI / RAG backends debugging production API issues designing backend architecture for new or existing systems supporting diffusion pipelines, LoRA training workflows, and related AI infrastructure Tech stack: Python, FastAPI, OpenAI, Qdrant, OpenSearch, Laravel, MySQL, Docker, AWS, Hugging Face Diffusers, Transformers.. If you need someone who can quickly understand your system and fix or build it without unnecessary complexity, feel free to reach out. *** AI Automation & RAG Engineer | OpenAI, FastAPI, Vector DB, Backend Systems *** I build production-ready backend systems for AI-powered applications. My focus is on: - RAG (retrieval-augmented generation) - OpenAI integrations - backend APIs with Python and FastAPI - vector search and hybrid retrieval with Qdrant and OpenSearch - AI automation workflows I’ve worked on systems that: - ingest and structure knowledge from multiple sources - perform hybrid retrieval using dense and keyword search - generate grounded responses with LLMs - support production-level usage, not just demos I do not build generic chatbots. I build systems where: - data is structured properly - retrieval is reliable - outputs are grounded and controlled Typical tasks include: - building RAG pipelines - developing AI backend APIs - integrating OpenAI into existing systems - improving retrieval quality and response grounding - designing AI workflows and backend architecture Tech stack: Python, FastAPI, OpenAI, Qdrant, OpenSearch, Docker If you need a real backend for your AI product, not just a prototype, I can help. *** Stripe & Payment Systems Engineer | Subscriptions, Webhooks, Laravel, APIs *** I specialize in payment systems and Stripe-based integrations. I’ve worked on: - subscriptions and billing flows - webhook handling and synchronization - failed payment recovery - transaction logic and consistency - card-related flows and backend systems Most issues I fix are not simple bugs, but problems like: - duplicate or missing webhook events - incorrect subscription states - payment flow inconsistencies - retry logic issues - reconciliation problems I approach these systems from a backend and flow perspective, not just API calls. Typical tasks I handle: - Fixing broken Stripe integrations - Debugging webhook issues - Implementing subscription systems - Stabilizing payment flows in production - Backend logic for billing systems Tech: Stripe, Laravel, APIs, MySQL, webhooks, backend systems If your payments are not behaving as expected, I can help you identify the root cause and fix it properly.