Summary
Ayush Singh is a Senior Machine Learning Advisor in Boston with 10 years of experience building and deploying large-scale, multi-modal ML systems—particularly in clinical and healthcare settings. At Cigna he led architecture and research to build in-house LLMs that outperform GPT on healthcare tasks, grounded models with semantic clinical knowledge graphs, and developed unsupervised methods to reduce annotation needs. His background spans production NLP, distributed feature pipelines with Spark, ASR topic discovery from call transcriptions, and deep learning on biomedical imaging from work at Harvard Medical School. Comfortable across research and engineering, he repeatedly moves prototypes into robust, scalable production (Kafka, Spark, Docker, AWS) and bridges clinical semantics with modern deep models. He holds an MS in Computer Science from Northeastern and combines academic publications with hands-on systems engineering—an unusual blend that speeds real-world ML adoption in regulated domains.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at Graphic Era Deemed to be University
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Northeastern University
English, Hindi, Spanish