Senior Full-stack Engineer at ProSource Philippines
February 6, 2024 - Present• 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