Ruilin Jin is a software engineer based in San Francisco with 8 years of experience building scalable web and AI systems, currently developing agent-based autonomous app tooling at ByteDance. He blends strong CS fundamentals, advanced algorithms, and 6+ years of full‑stack JavaScript/Python development with hands‑on ML research in generative models and LLM optimization from his MS work. Ruilin has shipped high-impact production systems—from a RAG agent serving 400k+ daily requests and saving 32 work hours per day to a Vue micro‑frontend library used by 350+ developers—and improved inference efficiency via KV cache pooling and attention refinements. He routinely bridges research and product: designing multitenant Pinecone embedding schemes, merging retrievers in LangChain to boost multi-source accuracy, and fine‑tuning large models with LoRA for higher QA performance. Known for pragmatic engineering that measurably reduces costs and latency, he pairs backend distributed systems and streaming (Kafka, ClickHouse) with polished front-end experiences (Vue/React) to deliver end‑to‑end solutions.
9 years of coding experience
6 years of employment as a software developer
high school, high school at The High School Affiliated to Renmin University of China
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Case Western Reserve University
Bachelor of Science - BS, Information Technology and Web Science, Bachelor of Science - BS, Information Technology and Web Science at Rensselaer Polytechnic Institute
Contributions:12 pushes, 6 branches in 1 year 1 month
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