Brenden Leib

Nava is a custom inventory management solution I built for small businesses.

• Architected comprehensive inventory management system integrating real-time tracking, automated reordering, and barcode scanning, building elegant interface using Laravel, Redis, MySQL, and ReactJS that eliminates operational inefficiencies and reduces inventory carrying costs
• Engineered end-to-end order fulfillment pipeline with Shopify and ShipStation integration, automating inventory tracking from part scanning through product assembly, time-tracked build processes, stock synchronization, and 3PL warehouse fulfillment
• Developed intelligent workflow automation tracking complete product lifecycle, implementing barcode-driven processes for inventory intake, parts picking, product allocation, assembly time tracking, and automatic stock adjustments across multi-location warehouses
• Built AI-powered business intelligence dashboard using custom-trained GROK model, analyzing company database to surface actionable insights including top product margins, time-based performance reporting, and revenue optimization recommendations
• Designed scalable employee productivity tracking system, capturing granular time data from picking through final assembly to identify bottlenecks, optimize labor allocation, and provide accurate costing for manufactured products

At Koqi.ai, I lead a team of overseas developers to fix bugs across a previously built mobile app and offer consultation on feature design and code best practices.

• Led offshore development team to stabilize legacy mobile application, providing technical consultation on feature design and code quality standards while coordinating bug resolution across the existing codebase
• Architected and developed comprehensive real estate platform rebuild from mobile to modern web application, implementing Apple's liquid glass design principles using .NET 9, PostgreSQL, ReactJS, and ExpressJS with server-side rendering
• Designed complete database architecture and engineered data integration pipelines, leveraging Bridge and Trestle APIs to scrape and synchronize high-quality property data across the CRMLS ecosystem for accurate market intelligence
• Built end-to-end real estate workflow suite featuring lead generation, deal tracking, property estimation, AI-powered insights and training modules, agent scoring algorithms, and Mapbox-integrated property visualization with advanced filtering capabilities
• Transitioned development operations from offshore to in-house team, collaborating with internal developers to rebuild the platform while establishing modern development practices and technical standards for long-term scalability

I built and maintain the entire tech stack for Pluug.io.

• Architected and maintain entire technology stack for Pluug.io, aggregating 7+ million cannabis products across 7,000+ dispensary locations into a unified deal discovery platform with geo-located search and personalized price alert notifications
• Engineered high-performance data pipeline processing 7 million product updates every 2 hours, designing Redis-based queue system to efficiently orchestrate aggregation jobs and maintain real-time inventory accuracy across thousands of sources
• Optimized database architecture using MySQL read/write node separation, achieving sub-200ms API response times across all endpoints while handling millions of concurrent product searches and price comparisons
• Built scalable search infrastructure using Elasticsearch, enabling lightning-fast product discovery with complex filtering, geolocation-based results, and relevance ranking across the complete cannabis product catalog
• Developed full-stack application using Laravel, Redis, MySQL, and React, creating fluid user experience with real-time deal notifications, personalized product preferences, and automated price drop alerts for favorite items