Summary
Somya Anand is a Staff Applied Scientist with 11 years of experience building production NLP and document-AI systems that bridge research and product impact. She has led applied science teams at Relativity and TextIQ, shipping 15+ production models (RAG Q&A, PII detection, privilege classification) and driving a 40% reduction in customer review time while earning three patents in legal NLP. Currently building Nia and focused on agentic systems, lifelong learning, and memory-augmented workflows, she blends deep transformer expertise (BERT/T5, contrastive learning) with practical evaluation frameworks like LLM-as-judge. Comfortable translating complex AI for cross-functional stakeholders, Somya pairs hands-on modeling with team leadership and a track record of turning legal research problems into usable products. Based in Vancouver, she’s especially interested in personalization and co-evolving agents that help people think better.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Technology - BTech, Mathematics and Computer Science, Bachelor of Technology - BTech, Mathematics and Computer Science at Indian Institute of Technology, Guwahati