Germán Castro Montes

AI-first virtual receptionist & live agent platform for businesses

• Call system & LLM integration: Developing and enhancing the AI-powered call system, integrating LLM capabilities for intelligent call handling, lead qualification, and appointment booking
• Prompt engineering & evaluation: Maintaining and iterating on production prompts driving AI receptionist conversations, with continuous evaluation to improve response quality and accuracy
• Feature development: Integrating new functionalities and conversation flows into the call system, expanding AI receptionist capabilities across calls, chats, and client workflows
• Dashboard & internal tools: Building and maintaining client-facing dashboards and internal tooling for monitoring, configuration, and analytics across the platform

ClimateTech startup accelerating climate solutions financing through AI-powered due diligence tools

• Technical leadership: Led team of 4 developers + QA, defining complete system architecture and coordinating directly with VP of Product to establish technical roadmap
• AI-powered platform: Built end-to-end due diligence platform processing 5,000+ financial documents across 100+ deals using multi-LLM integration with optimized prompt engineering
• Rapid delivery: Delivered fully functional system in under 6 months using Next.js, FastAPI, and Supabase with continuous scaling capabilities

White-label AI coaching platform enabling rapid deployment of personalized coaching avatar apps

• Multi-tenant architecture: Co-developed white-label mobile platform enabling rapid deployment of customized AI coaching apps for multiple clients with dynamic branding and content configurations
• AI coaching integration: Implemented comprehensive AI experience with Gemini LLM supporting text/voice interactions and streaming responses using Vercel AI SDK
• Rapid deployment: Delivered functional MVP within 2-month timeline enabling 3 sub-client deployments

Mobile app enabling wireless intraoral biosensor data capture for sleep apnea monitoring

• Critical problem resolution: Contracted to resolve production-blocking BLE connectivity issues preventing medical client delivery. Successfully diagnosed and fixed persistent device disconnections within 2-week timeline
• Medical device integration: Implemented robust BLE connectivity with intraoral biosensors (oxygen saturation, heart rate, motion) and enhanced UI/UX for medical professionals

Backend developer for production energy management platform serving hundreds of smart electrical panels

• API development & optimization: Developed GraphQL APIs with multi-layer caching systems, reducing response times from several seconds to under 1 second. Implemented database optimizations and performance improvements across the platform
• Energy sector integrations: Built integrations with major battery systems (Tesla Powerwall, Enphase, FranklinWH) and energy utilities using AWS Lambda and webhook architectures
• System architecture & leadership: Led performance optimization initiatives and system-wide improvements while managing 3-person development team. Progressed from mid-level to senior developer on enterprise production systems

Technical leadership role focused on training junior developers and leading internal innovation projects

• Training & mentorship: Designed training program for ~20 junior developers achieving 90% success rate transitioning to client-ready professionals within 3 months. Established code standards and conducted technical interviews
• Innovation project leadership: Led development of web scraping platform (Puppeteer/Playwright) and AI-powered HR tool with OpenAI integration for talent acquisition, managing cross-functional teams of 2-3 developers per project

Cloud-based cardiac device management platform with HIPAA compliance

• Healthcare integrations: Developed Django backend integrating with cardiac device manufacturers (Abbott, Biotronik, Medtronic) using reverse engineering and web scraping
• Data processing: Implemented Celery task scheduling for automated patient data collection