Yazan Kittaneh
Crafting high-performance web applications with an obsession for precision engineering and information architecture.
"Senior Full Stack Developer specializing in AI integration, modern web architectures, and cost optimization."
I help companies migrate legacy systems to Next.js, implement AI-powered features, and reduce infrastructure costs by 30-50%. Recent work includes fine-tuning DeepSeek R1 models for document processing ($10K/month savings), leading GraphQL API modernizations at Paychex, and architecting Edge Network deployments.
With 6+ years of experience, I've led teams through complete application rewrites, microservices architecture, and AI feature rollouts. I write about system design and AI engineering atblog.yazan.io.
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Contact
hi@yazan.io
github.com/yazankittaneh
Senior Full Stack Developer
Secure Data Ingestion Platform: ** Architected and implemented a resumable file upload system enabling users to securely submit, organize, and modify PDF and CSV documents using Next.js. Performed client-side data sanitization and spreadsheet rendering with graceful network failure handling, ensuring data privacy by processing sensitive information entirely on user devices.
AI Model Fine-tuning & Cost Optimization: ** Fine-tuned DeepSeek R1 model to automatically ingest and label CSV/PDF data into structured formats, categorizing transactions and flagging suspicious patterns in real-time. Distilled the model to an 8B parameter version running locally on Apple M4 hardware in Chicago, achieving a projected $10,000 monthly savings in LLM API costs while maintaining accuracy.
Senior Full Stack Developer
AI-Powered Customer Support Platform: ** Led complete migration from legacy Sierra Chat to Intercom Fin AI, removing 6,200+ lines of deprecated code while architecting contextual AI help pills that provide role-aware, in-context assistance. Developed 3,500+ lines of new code across 53 files, extending AI capabilities throughout employer dashboard, payroll processing, and worker onboarding flows with comprehensive security improvements and integration tests.
GraphQL API Modernization: ** Spearheaded migration of Pay Type and Payment Schedule Recommendations from REST to GraphQL BFF architecture, enhancing type safety and reducing API surface area. Implemented feature-flagged rollout strategy with comprehensive transformation tests and security validations across 650+ lines, enabling gradual migration without service disruption.
ML-Powered Smart Recommendations: ** Designed and built frontend integration for intelligent pay type recommendation system, surfacing ML-driven suggestions during employer onboarding. Implemented user-friendly override capabilities allowing employers to accept, customize, or reject AI recommendations, improving payroll configuration accuracy and reducing setup time.
Quality Engineering & Bug Resolution: ** Established comprehensive unit test suites for Intercom integration with shared mock libraries, improving test reliability and maintainability. Removed unconfirmed role patterns and aligned authentication utilities with backend API schema definitions. Resolved critical pay period calculation bugs ensuring accurate paycheck date computation across multiple pay schedules.
Senior Full Stack Developer
Application Modernization Leadership: ** Led 3-person team in complete overhaul of React 16 application to Next.js, migrating from legacy Redux to Redux Toolkit and refactoring class components to functional components. Achieved 50% reduction in error logs and 75% decrease in API calls through optimized data fetching and state management patterns.
Performance & Infrastructure Optimization: ** Migrated backend services to Edge Network infrastructure and implemented intelligent load balancing system, reducing average API response time by 100ms. Improved application responsiveness and user experience across all customer touchpoints.
Multi-Team Microservices Architecture: ** Architected and deployed Nest.js microservices consolidating data from proprietary databases into unified MongoDB instance. Coordinated 3 remote engineering teams across US, Mexico, and Colombia to implement critical data structures alongside existing obligations, projecting 50% reduction in SaaS infrastructure costs.
Platform-Agnostic Analytics Framework: ** Designed and implemented abstract analytics layer enabling platform-agnostic event tracking across all applications. Empowered business teams to seamlessly migrate between analytics platforms (Mixpanel, Amplitude, etc.) without code changes, ensuring long-term flexibility and vendor independence.
Senior Full Stack Developer
NFT Trading Platform Launch: ** Led 4-person development team in building and launching NFT trading platform from concept to production. Achieved rapid user adoption with 60,000 registered users within two months post-launch, handling real-time market data, wallet integrations, and secure transaction processing.
Monolith to Next.js Migration: ** Spearheaded complete architectural refactoring of legacy React/Node monolithic application to modern Next.js framework within 3-month timeline. Achieved 200ms improvement in page load times and 90% reduction in application crashes through improved code splitting, SSR implementation, and error handling.
Infrastructure Cost Optimization: ** Successfully migrated client's backend infrastructure from AWS EC2 instances to Vercel Edge Functions, leveraging serverless architecture for improved scalability. Reduced monthly operational expenses by 30% while improving global response times and deployment velocity.
Full Stack Developer
Property Management Platform Development: ** Led development of multi-role company dashboard serving as cornerstone of comprehensive property management and resident engagement platform. Built streamlined room management system, lease tracking, and communication tools that significantly enhanced management team operational efficiency, directly contributing to securing $100k in seed funding.
Performance Marketing Automation: ** Engineered end-to-end marketing automation solutions achieving 24% increase in lead conversion rates. Developed custom web scrapers, PPC optimization algorithms, and bid management systems for Facebook and Google Ads using Python, JavaScript, and React. Automated lead scoring and nurturing workflows, increasing marketing funnel efficiency and ROI.
Languages
Frontend
Backend
Testing
Infrastructure
LLM Models
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