Jon – React, Node.js, JavaScript

I built DatafineAI as an end-to-end SaaS platform that delivers real-time, hyper-personalized recommendations for eCommerce using advanced AI, embeddings, vector search, and LLMs. The system runs on Python/FastAPI with ChromaDB for vector indexing and includes the full pipeline—from data ingestion to AI-generated content.

DatafineAI connects directly to an online store, analyzes products, customers, and behavior, and builds personalized models automatically. It integrates seamlessly through a clean REST API or ready-made plugins for Shopify, WooCommerce, PrestaShop, and more.

Once connected, the platform activates its intelligence layer: real-time personalized newsletters, dynamic recommendations, AI-driven content generation, automated cross-selling, SEM optimization, and product-level suggestion engines.

Its tools include segment-aware newsletters, AI content creation, stock optimization, cross-sell engines, and personalized onboarding recommendations. Models rely on embeddings, semantic search, and LLM-based fine-tuning to adapt to various industries, including fashion and home décor, tech, beauty, education, and healthcare.

• Designed and developed the entire AI platform architecture using Python, FastAPI, and LLM-based pipelines.
• Implemented an embeddings and vector indexing system with ChromaDB for real-time semantic search.
• Built automated data ingestion and processing pipelines for products, customers, and behavioral analytics.
• Developed personalized recommendation models and hyper-targeted content generation using LLMs.
• Integrated the platform with Shopify, WooCommerce, PrestaShop, and custom eCommerce APIs.
• Created an end-to-end system for AI-generated newsletters, cross-selling strategies, and product suggestions.
• Optimized performance, indexing, and retrieval workflows for large product catalogs.
• Managed full deployment, testing, monitoring, and continuous improvement of the platform.

A Private Peer-to-Peer Network for Unique Stays

I developed Home Prive entirely on my own: a mobile platform that allows users to discover and share unique accommodations exclusively within their trusted network. It is the first private peer-to-peer system designed to offer secure, personal, and fully private stays without any public exposure.

The project includes a complete React Native mobile application with a modern, intuitive user experience, powered by a Node.js backend connected to a PostgreSQL database. It features integrated maps and geolocation, enabling users to explore stays by location and view accommodations available within their personal network. The platform is built with a secure and scalable architecture that protects user privacy and ensures efficient data management.

Home Prive redefines how people find accommodations by prioritizing trust, privacy, and genuine personal connections.

• created front-end and back-end architecture
• created a geolocated db with PostgreSQL directly in database
• encrypted all relevant data
• algorythm for contact sync

An advanced enterprise platform dedicated to brands and retailers. Revieve empowers businesses to provide personalized, interactive consumer experiences, driving unparalleled engagement and conversion.

• Spearheaded the development of interactive user interfaces using React, ensuring responsiveness and cross-device compatibility;
• Utilized Node.js to design and maintain a high-performance server environment, handling data processing and API integrations;
• Implemented secure and efficient database solutions, ensuring fast retrieval and consistent storage of platform data;
• Collaborated closely with UX/UI designers and product managers to integrate and test new platform features;
• Adhered to coding best practices and participated in regular code reviews, maintaining the platform's performance and reliability;
• Identified bottlenecks and bugs and devised solutions to address and improve these issues promptly.

A Tinder-like app for people Otaku (who love the Japanese culture) that matches them with other people.

• Created backend and mobile app;
• Made decisions for architecture;
• Helped to launch the product.

A cutting-edge gastronomic application aimed at guiding users to discover their next favorite restaurant. By leveraging user reviews and feedback, the proprietary algorithm provides tailored suggestions for dining experiences.

• Established a technological vision for the company and led the development team towards achieving project milestones;
• Formulated the overall system architecture, ensuring scalability and maintainability;
• Coordinated cross-functional teams, ensuring a cohesive development and deployment process;
• Maintained coding standards, conducted reviews, and ensured the delivery of high-quality software;
• Monitored industry trends and integrated new technologies and methodologies to keep the application at the forefront of innovation;
• Acted as the primary technical liaison with stakeholders, ensuring clarity and alignment on product objectives and outcomes.

The platform is a digital nexus between dedicated educators and eager learners, providing a comprehensive curriculum and interactive teaching environment.

• Outlined the technological roadmap and steered the development team in realizing the platform's vision;
• Crafted a robust and scalable system blueprint, anticipating future growth and feature integrations;
• Led a team of developers, fostering collaboration and ensuring timely project delivery;
• Instituted rigorous code review processes and quality assurance measures, guaranteeing the platform's reliability and efficiency;
• Kept abreast of the latest trends in e-learning and integrated emerging technologies to keep WATS at the pinnacle of online education platforms;
• Served as the key technical contact for stakeholders, ensuring all technological facets were transparent and aligned with the project's goals.