Summary
Richie S is a full-stack AI software engineer bridging deep tech and real-world impact, with eight years of experience delivering scalable systems. He works across the stack—from low-latency Rust services and real-time inference pipelines to React, FastAPI and TypeScript front-ends, crafting production-grade LLM deployments with LangChain, ChromaDB and vector databases. Currently at MOONNOX, he built core Lambda functions to orchestrate LLM workflows across OpenAI, Anthropic and Cohere, engineered end-to-end RAG pipelines, and productionized ETL tasks for knowledge ingestion into Weaviate. Previously a core contributor at StreamGale, he helped design a Rust-based real-time streaming and edge AI platform, with zero-copy pipelines, FedAvg/FedProx federated learning and multi-cloud deployments. A startup-focused builder and open-source contributor with a top-3 finish at the 1871 Tech Challenge and a TensorFlow stock-prediction project that was featured in Times Square, he blends product thinking with engineering excellence. Based in Chicago, Illinois, he engages with Hustle Fund’s Angel Squad to sharpen his sense of product-market fit and early-stage dynamics while pursuing ambitious intelligent-systems ventures.
8 years of coding experience
7 years of employment as a software developer
Graduate Certificate, Natural Language Technology - Computational Linguistics, Graduate Certificate, Natural Language Technology - Computational Linguistics at University of Washington
Master of Science - MS, Computer Science (Artificial Intelligence Track), 3.5, Master of Science - MS, Computer Science (Artificial Intelligence Track), 3.5 at DePaul University
Bachelor of Business Administration (BBA), Economics, Bachelor of Business Administration (BBA), Economics at Mahidol University
Summer Session, Summer Session at Stanford University
English, Thai, Spanish