Summary
Shiwangi Singh is a Senior Machine Learning Engineer in Chicago with 10 years of experience building production-grade NLP and retrieval systems, currently focused on search infrastructure and Retrieval-Augmented Generation for legal documents in Private Equity. She blends deep learning research (MS in Computer Science from UIC) with backend and cloud engineering to move models from prototype to scalable deployments, having productionized ML across Azure, GCP, and AWS. Her work spans semantic and hybrid search, LLM-powered RAG apps, and contract data extraction—skills honed through roles at Ontra and KPMG and earlier research in speech and vision. Comfortable with the full ML lifecycle, she pairs hands-on model training and optimization with API and containerized service development. An uncommon strength is her background in large-scale visualization and VR environments from UIC, which reflects a broader systems-oriented mindset beyond typical NLP practitioners.
10 years of coding experience
7 years of employment as a software developer
Master of Science (MS), Computer Science, 3.80/4.00, Master of Science (MS), Computer Science, 3.80/4.00 at University of Illinois at Chicago
Bachelor's degree, Information Technology, 76%, Bachelor's degree, Information Technology, 76% at DJ Sanghvi College of Engineering, Mumbai University