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I build AI-powered web applications and custom software for small and mid-sized businesses in the US, EU, and UAE. Through my firm Biqvora, I've delivered projects including: — AI document processing pipelines (800+ docs/month automated) — Property listing platforms for UAE real estate firms — Healthcare website redesigns for US clients — Emergency response mobile apps I work in React, FastAPI, Python, Node.js, Flutter, and integrate AI using OpenAI and Claude APIs. If you need a web app built, an AI feature added to your product, or a workflow automated — let's talk.

I’m a Software Engineer working on the development and improvement of digital products, from web applications and process automations to more complex systems based on data and artificial intelligence. Throughout my experience, I’ve worked with projects at different stages, and there are patterns that appear again and again: systems that grow quickly without a clear structure, technical decisions that make maintenance harder over time, and solutions that take too long to deliver real, reliable results. I’m usually brought in when something already exists, but doesn’t work as it should or needs a clear technical review. My main strength is understanding complex systems quickly and making well-focused technical decisions. In practice, this means less overengineering, fewer unnecessary iterations, and solutions that reach production faster without sacrificing quality or clarity. I don’t work by trial and error — I analyze, prioritize, and act. I’ve worked both on projects built from scratch and on improving existing systems, which allows me to adapt easily to different contexts and requirements. I’m comfortable working across backend development, business logic, automations, web applications, and more advanced solutions when the project calls for it. I currently collaborate with clients who value autonomy, technical judgment, and a results-oriented way of working. If you’re looking for someone who can quickly understand your product, identify what’s not working, and help you move forward with clarity, I’d be happy to talk. Professional certifications: Machine Learning Specialization (Stanford University - Andrew Ng) · LangChain for LLM Application Development (DeepLearning.AI) · Supervised Machine Learning (DeepLearning.AI & Stanford) · Generative AI Essentials (NVIDIA) · Building AI Applications with Jetson Nano (NVIDIA) · Python Certification (Udemy) · Algorithms for DNA Sequencing (Johns Hopkins University) · Professional Data Analysis Fundamentals (Microsoft & LinkedIn). Areas of work: RAG audits · LLM systems · AI applications · Backend development · Web applications · Process automation · API integrations

Top Rated AI Marketing Systems Specialist with 7+ years building data, marketing, and AI systems If you shoot me an invitation or message I'll send you exactly how I'd approach your problem before you decide whether to hire me. 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡: 𝟏. Cold Outbound + GTM Lead Generation Automation: Build your B2B lead gen + CRM + AI-powered outbound system: Clay + Instantly + Attio + Apollo + n8n + LinkedIn (Aimfox / Sales Navigator) + cold-email infrastructure. Currently Fractional GTM Engineer for a European-based seed-stage B2B SaaS founder. 𝟐. Conversion Tracking & Attribution: GA4 + Google Tag Manager (GTM) + Meta Pixel + Meta Conversion API (CAPI) server-side + Google Enhanced Conversions + UTM hygiene + dynamic remarketing + CRM ↔ ad-platform attribution loops. 𝟑. Google Ads + Meta Ads Management + Full-Funnel Operator: fractional growth lead running Google Ads, Meta Ads, social media, newsletter, and CRM as one connected operation. 𝟒. Marketing Dashboards & Internal Tools: Looker Studio + Google Sheets + Apps Script + Vercel web apps for agencies and consultants running the same workflow across many clients. 𝟓. AI Content Production: AI video + AI image + UGC + Shorts pipelines (HeyGen + ElevenLabs + CapCut) + bulk SEO article generators (Claude API) + AI graphic design with brand guardrails. 𝟔. Custom AI Agents + LLM Workflows + MCP Servers: Claude Code + Claude API + OpenAI API + agentic workflows + RAG pipelines + chatbots + voice agents + assistants + custom MCP servers + locally-deployed agents (Mac mini, VPS) for founders who want local-first AI. 𝐂𝐚𝐫𝐞𝐞𝐫 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: 🎯 Analytics Engineer at Bench Accounting (Vancouver fintech, $89M peak revenue, 11,000+ client environments running in parallel) on dbt + SQL + Snowflake 🎯 Business Intelligence Analyst at Noise Digital acquired by Digital Havas Media Group (€2.74B 2024 revenue, 22,610 people, 100+ markets, global big-six). Agency clients: Toyota, Adidas, J&J, Ferrero, PlayStation, A&W, Sun Life Canada 🎯 Fractional go-to-market (GTM) Engineer for a European-based seed-stage B2B SaaS founder 🎯 Fractional Growth Operator for a Manhattan luxury salon-suite brand on Madison Avenue 🎯 Personal brand grown 0 → 350,000 followers in 7 months on a 20-min/day n8n + Python workflow 🎯 Top Rated on Upwork with a 100% Job Success Score · 5.0★ 𝐌𝐲 𝐭𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: - Automation: n8n, Zapier, Make, Python, Apps Script, MCP - AI / LLM: Claude (Code + API), OpenAI / GPT, agentic workflows, RAG, MCP servers, Anthropic SDK - CRM: HubSpot, GoHighLevel, Salesforce, Attio, ActiveCampaign - Tracking & Ads: GA4, Google Tag Manager, Meta Pixel, Meta Conversion API (CAPI) server-side, Google Ads, Meta Ads, Enhanced Conversions, UTM hygiene - Data & Dashboards: Looker Studio, Google Sheets, Airtable, Supabase, dbt, Snowflake, BigQuery - Outbound: Instantly, Clay, Apollo, Smartlead, Sales Navigator, Aimfox 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: - AWS Certified Solutions Architect Associate - AWS Certified Data Analytics Specialty - Google Ads Search Certification 𝐖𝐡𝐲 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞: 🤝 Quality: When your tracking breaks, I read the logs. When your CAPI loop drops events, I read the docs. Agency "GA4 experts" guess. 🤝 Production-grade, not prototype-grade. I ship reliable, scalable systems built to survive real traffic not demos that fall over week one. 🤝 Strategic operator, not order-taker. Hands-on, autonomous, async-clear comms. I take ownership of the build, no hand-holding required. 🤝 Documented handover, no black box. Playbook+ final handoff Loom. Stop paying me and your system keeps running. Thanks for reading and let's discuss your project! 🥳

I build production-grade OCR and AI-powered document extraction pipelines that turn scanned PDFs, images, invoices, and unstructured documents into clean, structured, usable data accurately and at scale. Whether you have 10 documents or 100,000 I deliver automated solutions that save time, reduce manual effort, and integrate directly into your existing workflows. 🔧 Tools & Technologies I Use Daily: - OCR Engines: Tesseract, PaddleOCR, EasyOCR, AWS Textract, Google Cloud Vision API - Computer Vision: OpenCV, YOLO, image preprocessing (noise reduction, skew correction, deskewing) - AI & ML Pipelines: Python, FastAPI, LangChain, custom NLP models for post-OCR correction - Data Output: JSON, CSV, Excel, structured databases (PostgreSQL, MongoDB) - Automation: end-to-end document pipelines, API integrations, cloud deployments (AWS, GCP) 📄 What I Extract From: → Invoices → Bank statements → Legal contracts → Medical forms → ID cards → Handwritten documents → Logistics labels → Financial reports → Scanned books 🏭 Industries I've Served: → Fintech → Healthcare → Legal → Logistics → E-commerce → Insurance 📊 Results I Deliver: ✔ 98%+ OCR accuracy on complex, low-quality scans ✔ Automated pipelines processing 5,000+ documents weekly ✔ Reduced manual data entry time by 80–90% for clients ✔ End-to-end solutions from raw image → structured database I don't just extract text I build intelligent systems that understand your documents. If you have a document challenge, send me a sample file and I'll tell you exactly how I'd solve it before you even hire me.

I am a Senior Backend Engineer specializing in agentic AI systems and LLM-powered applications. I design and build backend systems where AI models act as autonomous or semi-autonomous agents capable of executing multi-step workflows, analyzing data, and making structured decisions. My core stack is Python (FastAPI), combined with modern LLM integrations and scalable backend architecture. I focus on delivering systems that are reliable in production, not just prototypes. I have experience building: – agent-based AI systems for decision-making and automation – LLM-powered APIs and backend services – retrieval-augmented generation (RAG) systems – data-driven platforms with real-time processing – integrations with external APIs, databases, and messaging systems My approach is engineering-first: I design system architecture before implementation, define clear workflows for AI behavior, and add validation layers to ensure consistent and predictable outputs. Typical architecture I deliver: – FastAPI backend with structured services – LLM integration with controlled prompting and tool usage – async processing (queues / background tasks) – Redis for caching, memory, and rate limiting – database-backed state and logging I pay strong attention to performance, cost efficiency, and security, especially when working with LLM-based systems. If you need an AI system that is well-architected, scalable, and reliable under real-world conditions, I can help you build it properly.

I'm a Computer Science graduate from FCSE Skopje with a 9.3/10 GPA and proven experience building production systems across the full stack. Backend Development: I work daily with Python and FastAPI for high-performance services, have extensive experience with Spring Boot and Spring Security for enterprise applications, and build RESTful APIs with proper authentication and data persistence layers using Spring Data JPA. Frontend & Full-Stack: I've developed user interfaces with Angular, ReactJS and NextJS and have hands-on experience creating complete full-stack applications from database to UI. Databases & Data: Proficient with PostgreSQL for relational data, Neo4j for graph databases, pgvector for vector similarity search, and Redis for caching in distributed systems. Cloud & Infrastructure: I architect and deploy microservices on Microsoft Azure using Terraform (Infrastructure as Code), containerize applications with Docker and Docker Compose, and have experience with AWS services including Glue for ETL pipelines. AI & Machine Learning: Currently building production RAG (Retrieval-Augmented Generation) systems, developing agentic architectures with LangGraph and AutoGen, and implementing AI workflows with Langfuse for monitoring and observability. DevOps & Best Practices: Established CI/CD pipelines using GitHub Actions with pre-commit hooks and linters, designed distributed systems with RabbitMQ messaging queues, and implement comprehensive monitoring with Spring Boot Actuator. I've proven I can own projects end-to-end, from architecture to deployment, delivering systems that handle thousands of concurrent users. I can help optimize your infrastructure, accelerate your development process, and build scalable solutions that work reliably in production.