Summary
Shilpa Suresh is a Machine Learning Engineer III with nine years of experience applying NLP and continual-learning research to real-world domain problems, currently adapting LLMs for information extraction at Truveta. She has built steerable, privacy-aware, knowledge-augmented biomedical IE models for drug discovery and clinical trials and developed weakly supervised NER systems for surgical decision support at Harvard Medical School. Her background in Operational Excellence and systems analysis keeps models practical and production-ready, emphasizing efficiency and robustness alongside accuracy. She has a strong research foundation from UMass Amherst in continual and multilingual learning, mentored by Prof. Andrew McCallum, and a track record of moving ideas from research into applied pipelines. Based in the Greater Seattle Area, she combines curiosity about history and coffee-fueled focus with a pragmatic drive to make adaptable language models work in specialized, high-stakes domains.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Information Systems, Bachelor’s Degree Information Systems at Singapore Management University
Master's degree Computer Science, Master's degree Computer Science at University of Massachusetts Amherst
English, Tamil, Telugu, French, Hindi