Nikola – Shopify, Laravel, React

A scalable, multi-tenant e-commerce platform that integrates with major providers like Shopify, WooCommerce, and BigCommerce, enabling businesses to centralize operations, synchronize data in real time, and manage subscriptions and billing within a single high-performance system designed to handle large data volumes efficiently.

• Architected and delivered a scalable multi-tenant e-commerce SaaS platform integrating Shopify, WooCommerce, BigCommerce, Wix, and Shift4Shop;
• Designed and implemented an extensible adapter-based architecture, significantly reducing time and effort required to onboard new platforms;
• Increased system performance and responsiveness by ~40% through optimized data synchronization, intelligent caching (MongoDB), and background processing;
• Engineered a high-performance synchronization engine capable of handling large-scale, near real-time data across multiple external providers;
• Implemented a dual-database architecture (MySQL for transactional integrity, MongoDB for high-volume data), improving scalability and system efficiency;
• Built a robust subscription and billing system with usage-based limits, ensuring accurate enforcement and supporting scalable monetization;
• Reduced API load and operational costs by optimizing request flows, batching processes, and leveraging asynchronous workers;
• Established clean, maintainable backend architecture using Laravel and RESTful services, aligning with SOLID principles and best practices;
• Integrated centralized logging and monitoring (Graylog), significantly improving debugging, observability, and system reliability;
• Contributed to architectural decisions, system design, and performance optimization in a fast-paced, production environment.

Designed and architectured MVP competitor analysis platform with AI integration via OpenAI. Built a Nuxt.js based competitor analysis platform where we aggregated and processed multi-source market data (scraping, public signals, community sentiment), generated automated SWOT, feature-gap analysis, and market positioning dashboards and delivered board-ready insights with interactive charts, diagrams, and AI-generated strategy outputs.

• Delivered a board-ready competitor intelligence platform capable of generating SWOT analysis, market positioning, and strategic roadmaps in minutes;
• Automated multi-source data aggregation and enrichment, reducing manual research effort and enabling near real-time competitive insights;
• Created a deterministic competitor positioning model, improving clarity and consistency in strategic decision-making;
• Enabled AI-driven synthesis of complex datasets into actionable outputs including financial models, marketing playbooks, and product gap analysis;
• Built a one-command data refresh pipeline, significantly improving operational efficiency and repeatability of analysis;
• Enhanced decision-making through integrated sentiment analysis and real-world market signals;
• Designed a scalable architecture ready for database migration and expansion to additional industries or tenants;
• Integrated and scraped multiple sources and open social platforms and reviews for data analyzing.

Built an automated accounting and analytics system for a car wash business, including AI-based vehicle recognition for identifying company fleets. Delivered real-time operational insights, peak-hour monitoring, and enhanced financial tracking, reducing manual work and enabling data-driven decisions.

• Architected and developed a full-stack web application using Vue.js and Nuxt.js, ensuring high performance, SEO optimization, and maintainable structure;
• Implemented scalable state management using Pinia, enabling predictable data flow and improved application maintainability;
• Integrated AI-powered features using OpenAI APIs for vehicle recognition, data processing, and intelligent automation workflows;
• Designed and deployed cloud infrastructure on Hetzner, optimizing cost-efficiency, reliability, and system performance;
• Developed real-time monitoring dashboards and analytics tools to track operational metrics such as peak usage hours and system performance;
• Engineered data ingestion and processing pipelines for handling vehicle data (including registration and model recognition), enabling fleet identification and classification;
• Implemented integrations between frontend, backend services, and external APIs, ensuring seamless data synchronization and system interoperability;
• Optimized application performance through lazy loading, caching strategies, and efficient API communication;
• Collaborated closely with stakeholders to translate business requirements into scalable technical solutions and deliver production-ready features.

A customizable chatbot platform that allows businesses to quickly create and deploy AI-powered chatbots tailored to their needs, with support for custom data, configurable UI widgets, multiple AI model testing, and integrations such as WhatsApp.

• Owned the full development lifecycle from idea to production;
• Designed system architecture and deployment strategy;
• Containerized applications (Docker) and deployed to VPS;
• Implemented logging, monitoring, and performance optimization;
• Integrated rate limiting, queueing, authentication, and email verification;
• Delivered end-to-end features and ad-hoc solutions based on user needs;
• Enabled one-line integration of chatbot widget into client platforms;
• Built data ingestion pipelines (URL scraping, manual input) with vector embeddings;
• Optimized prompts and model selection for high-quality AI responses.

A product tagging automation tool that streamlines managing large e-commerce catalogs by enabling bulk addition, updating, and removal of tags across products and collections, helping teams maintain consistent, well-structured data while reducing manual effort.

• Developed automation solutions for Shopify stores in the fashion industry;
• Built and published apps for the Shopify App Store;
• Designed and maintained deployment pipelines;
• Built dynamic interfaces using HTMX, Alpine.js, and Tailwind CSS;
• Conducted R&D to identify and scale technical solutions;
• Analyzed business requirements and translated them into system designs;
• Documented development processes and solutions;
• Implemented background jobs using cron and queues (httpqueue);
• Integrated third-party APIs and libraries into core modules using RESTful services;
• Set up CI/CD pipelines (AppBuddy) and handled deployments;
• Implemented logging and monitoring to ensure system reliability;
• Collaborated with team members and a mentor in a full-stack environment;
• Continuously learned and applied new technologies and best practices.

A DLT-based platform and SDK that enables interoperability between enterprise systems in the crypto and payments space, allowing businesses to build secure financial solutions with API-driven payments, usage-based billing, and scalable, high-performance transaction processing across distributed networks.

• Designed and implemented API-based payment solutions with usage-based billing;
• Integrated Stripe for handling subscriptions and customer billing;
• Developed and maintained microservices using reactive Java and Spring Boot;
• Contributed to system architecture, research, and technical design decisions;
• Improved and refactored existing services for better performance and scalability;
• Implemented unit and regression testing to ensure system reliability;
• Worked with distributed systems using Kafka, Redis, and MongoDB;
• Managed CI/CD processes and debugging using logs and monitoring tools;
• Participated in demos, knowledge-sharing sessions, and team collaboration.