Summary
Jessica Huynh is an Applied NLP Research Engineer in Boston with 11 years of experience bridging computational linguistics, clinical NLP, and web engineering. She has led teams to build production annotation platforms, CI/CD Dockerized pipelines, and fine-tuned BERT models for medical NER and coding tasks, while coordinating distributed annotators and UX stakeholders. Her background combines academic research—coauthoring a JAMIA systematic review on clinical speech recognition—with hands-on product work prototyping voice-enabled clinical tools and multilingual NLP pipelines. Known for turning rule-based and ML methods into deployable systems, she also brings front-end and backend fluency (Vue, Werkzeug, Python) and practical experience deploying on-prem with Ansible and GitLab CI. An unusual strength is her track record of mentoring and line-managing NLP specialists while writing annotation guidelines and cleaning complex clinical corpora.
11 years of coding experience
7 years of employment as a software developer
Salutatorian High School Diploma, Salutatorian High School Diploma at J. Frank Dobie High School
Master of Arts (M.A.) Computational linguistics, Master of Arts (M.A.) Computational linguistics at Brandeis University
English, Vietnamese, French, Arabic