Summary
Peter Schoener is an AI engineer and former AWS ML engineer with nine years of experience building production-grade NLP and inference systems, currently delivering accuracy-critical chatbot and IR tooling at Jiseki while serving as an Engineer Officer. He blends a strong academic background in computational linguistics (University of Tübingen BA, UW Seattle MS/CLMS) with hands-on systems work across Comprehend and Bedrock—covering design, implementation, deployment, and operational support. His technical focus spans statistical and deep neural meaning extraction, alternatives to Transformer architectures, and performance-minded low-level engineering in Rust and C to speed up complex stacks. Known for thriving under time pressure and in small agile teams, he pairs a do-it-yourself mentality with clear teaching and cross-team explanation to unblock projects. His bachelor’s thesis and early research touched compositional compatibility and largely unsupervised embedding-based meaning extraction, grounding his practical engineering in solid research.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computational Linguistics, Master of Science - MS, Computational Linguistics at University of Washington
Bachelor of Arts - BA, Computational Linguistics, Bachelor of Arts - BA, Computational Linguistics at University of Tübingen
English, German, French