Summary
Shaurya Singh is a data scientist and ML engineer with eight years of experience, currently a Senior Associate at BNY and completing an MS in Artificial Intelligence and Innovation at Carnegie Mellon University. He builds production ML solutions across NLP and multimodal domains, from a 92% accurate transaction-matching system using fine-tuned sentence transformers to a code-generation agent that reduced weekly coding time from days to minutes. His background spans industry research (Honda Research Institute), fintech, and applied startups, and he regularly teaches ML and data visualization courses to graduate students. Shaurya pairs strong academic performance (4.09/4.0 at CMU) with hands-on engineering—shipping sentiment-analysis and medical-detection proofs-of-concept and embedded voice interfaces earlier in his career. He’s particularly skilled at translating domain logic into robust ML pipelines and automation tools that measurably boost operational efficiency. Based in Pittsburgh, he enjoys exploring multimodal “seeing, hearing, and hallucinating” AI systems that push real-world impact.
8 years of coding experience
2 years of employment as a software developer
12th passed, Science stream, 93.8%, 12th passed, Science stream, 93.8% at Step By Step World School
Bachelor of Technology - BTech, Computer Science and Engineering, 9.13 / 10.00, Bachelor of Technology - BTech, Computer Science and Engineering, 9.13 / 10.00 at Vellore Institute of Technology
Master of Science - MS, Artificial Intelligence and Innovation, 4.09 / 4.00, Master of Science - MS, Artificial Intelligence and Innovation, 4.09 / 4.00 at Carnegie Mellon University
English, Hindi