Michael Castillo

Led design and launch of AI-enabled SaaS platforms across multiple 8–14 week MVP cycles, supporting ~30 organizations and up to 300+ active users per deployment. Architected high-volume RAG pipelines indexing 10k–500k+ documents daily, reducing manual research time by ~70%. Built token-efficient LLM workflows to keep inference costs below $0.02 per production request, and engineered RBAC-secured, multi-tenant infrastructure to support enterprise onboarding and compliance. Delivered ML systems including an NLP classification model (60k records) achieving ~88% F1 and reducing manual review time by ~45%. Reduced workflow latency by ~90% using asynchronous orchestration and background job queuing. Implemented production observability (logging, tracing, alerting) to reduce incident resolution time by ~50%, and built high-throughput services in Go and Rust for concurrency-heavy workloads. Integrated 10+ financial and blockchain APIs to reduce data latency by ~40% and enable real-time an

At Santiment, I helped develop and improve a real-time analytics platform serving thousands of users in the cryptocurrency and financial data industry. I built interactive dashboards and backend services capable of processing millions of data points daily, making complex market information easier to access and analyze. I integrated more than 10 financial and blockchain APIs, reducing data latency by 40% and improving the reliability of analytics workflows. I also optimized SQL queries across databases containing hundreds of millions of records and automated repetitive analyst tasks, saving hours of manual work. Working closely with engineering, product, and analytics teams strengthened my ability to deliver scalable solutions in a fast-moving, data-intensive environment.

At Overstock, I contributed to the development of responsive, user-friendly interfaces for a large-scale e-commerce platform. I created reusable UI components used across dozens of production screens, helping improve consistency and maintainability throughout the application. I optimized frontend performance through better asset bundling, caching, and rendering strategies, reducing load times by 40%. I also integrated REST APIs supporting tens of thousands of products and worked on mobile-first improvements to create a smoother shopping experience. This experience gave me a strong foundation in frontend engineering, performance optimization, and building interfaces that balance usability with technical efficiency.