Jomari Gonzales

• Led end-to-end development in a US startup, architecting and scaling high-traffic client portals and admin platforms supporting a top 10% Boston luxury rental portfolio and $500K+ annual revenue o Built AI support agent (Python, LangChain, RAG) for 24/7 handling of guest inquiries and FAQs o Developed AI-powered recommendation system (Python, OpenAI, vector DB, embeddings) generating personalized local itineraries o Built AI voice assistant workflow (n8n, Vapi, Twilio, Calendly API) for lead qualification, property data capture, and automated meeting booking o Engineered booking engine (Python, FastAPI, MySQL) with real-time calendar synchronization, driving 90%+ occupancy during peak seasons o Engineered payment gateway (Stripe, PayPal) improving checkout conversion by 22% o Architected Airbnb integration for calendar synchronization (RabbitMQ, Redis), reducing double-booking errors by 99.9% o Developed admin dashboard (JavaScript, HTML, CSS) for portfolio management and virtual property tours, saving 15+ hours/week in operational overhead • Developed enterprise SaaS platform automating energy benchmarking and regulatory compliance across U.S. jurisdictions, enabling ~10% reduction in energy intensity and supporting $120M+ in annual energy savings o Engineered production RAG agent (Python, LangChain, Pinecone) for regulatory inquiries, reducing support tickets by ~45% o Built AI-powered knowledge base (RAG, semantic search) ingesting 500+ pages of regulations, achieving ~98% accuracy in compliance and penalty identification o Scaled ETL pipeline (Pandas, PostgreSQL) processing 150K+ property datasets, automating data mapping and reducing manual processing time by 60% o Optimized automated compliance status engine (Python, Django), streamlining validation across 20+ energy benchmarking metrics and reducing administrative overhead by 60% o Engineered inventory management platform (React, TypeScript) with dynamic data grid and bulk operations, supporting 300+ columns with real-time sorting, multi-level filtering, and custom column profiling o Implemented CRM and helpdesk system (HTML, CSS, Django) with automated ticketing and bulk email workflows, enabling proactive compliance outreach and reducing the risk of $5K+ penalties per property o Developed geospatial building performance map (JavaScript, OpenStreetMap) with advanced filtering, enabling identification of high-priority areas for energy retrofits o Optimized backend services to support 5,000+ concurrent users during peak compliance cycles • Implemented CI/CD pipelines (Docker, Kubernetes), reducing MTTR and improving deployment success to 98% • Integrated third-party APIs (Twilio, SendGrid, Google Maps), increasing feature adoption by 40% • Migrated monolith to cloud-native microservices (AWS Lambda, API Gateway), enabling 3× peak traffic • Optimized data layer (SQL, NoSQL, DynamoDB), reducing infrastructure costs by 22% • Developed REST and GraphQL APIs (Python, Node.js), reducing respons

Built and maintained full-stack web applications with modern frontend frameworks, improving client performance and UX metrics by 30%. Scaled REST and GraphQL APIs, implemented data ingestion and stream processing pipelines, and deployed cloud-native infrastructure with auto-scaling and fault tolerance to ensure 99.99% uptime.

• Designed scalable system architectures (microservices, SaaS) ensuring reliability and maintainability • Developed full-stack applications (Node.js, Express.js, React) using modern frameworks and best practices • Optimized database design and queries (MySQL) for performance and scalability • Implemented secure authentication and encryption (OAuth, JWT, HTTPS) following modern standards • Automated deployment and scaling (Docker, Kubernetes, Terraform, AWS) using cloud-native practices • Diagnosed and resolved production issues (Prometheus, CI/CD), minimizing downtime • Mentored engineers through code reviews and technical guidance (Git, GitHub), improving team performance