Senior AI-Native Full-Stack Engineer

Reggie Escobar is a Senior Backend/Full-Stack Engineer and Tech Lead with 9+ years of experience, holding an MBA. He specializes in owning backend, distributed systems, and AI infrastructure across AWS and GCP, demonstrating a track record of 99.9% uptime and leading major platform migrations using infrastructure-as-code (Pulumi). His expertise includes building and maintaining robust data systems like self-managed PostgreSQL, high-throughput Temporal workflows, and large-scale ETL pipelines with Airflow and AWS S3. He has extensive experience with AI/ML, developing Python SDKs, computer vision pipelines, and AI-assisted engineering workflows, including LLMs, embeddings, Pinecone vector search, and RAG patterns. Reggie has successfully integrated various financial and business APIs (Plaid, Paddle, QuickBooks, OIDC, Auth0, Sift) and built AI-powered automation tools. He has significant FinTech and MarTech/AdTech experience, including optimizing analytics platforms for millions of users and real-time fraud monitoring. Notably, he has independently shipped two revenue-generating AI-native products (danbing.ai, decodethistext.com). Reggie also possesses product management and Scrum Master experience, making him comfortable leading engineering teams and engaging with business stakeholders. He is a post-MVP startup specialist focused on reducing technical debt, scaling infrastructure, improving developer experience, and accelerating product delivery.