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About SomyaJump to section titled About Somya

Applied scientist, builder & writer. I tend to my digital garden here.

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I design and build AI systems inspired by human thinking—memory, context, and learning through use. After years in legal technology, building NLP systems and leading teams, I stepped away from management to return to building. Now I'm working on Nia, a personal project exploring co-evolving AI systems.

I studied Mathematics and Computer Science at IIT Guwahati, where my curiosity about computation and cognition first took root. Since then, I've worked across NLP, legal AI, and systems design—always drawn to problems at the edge of what machines can understand about human language and intent.

Current FocusJump to section titled Current Focus

Things I'm tending to these days:

  • AI & Feedback — How do we build systems that genuinely learn from the people using them?
  • Nia Project — A personal project exploring context and attention
  • Systems & Learning — Understanding how complex systems evolve and adapt

TimelineJump to section titled Timeline

A winding path through the garden:

NowJump to section titled Now

Building Nia

Stepping back from management to return to building. Working on Nia—exploring co-evolving AI systems, memory, and context. Writing about what I learn and tending this digital garden.

2022–2024Jump to section titled 2022–2024

Applied Science Manager at Relativity

Led a team building AI solutions for legal technology: case strategy tools, PII identification, privileged document recognition, and RAG-based Q&A systems. Developed 15+ AI models that reduced sensitive information identification time by 40%.

2019–2022Jump to section titled 2019–2022

Lead Applied Scientist at TextIQ → Relativity

Built NLP models for document classification, legal entity comprehension, and topic modeling using BERT, T5, and transformer architectures. Developed specialized NER for legal content. Created AI-powered tools including privilege logs and confidential classifiers.

2017–2019Jump to section titled 2017–2019

Software Engineer, Data Science at MindTickle

Designed scalable analytics infrastructure and Spark pipelines. Built predictive analytics for sales enablement using mixture models.

2016–2017Jump to section titled 2016–2017

Software Engineer at PayTM

Built intelligent fare alert and fare trends systems for travel.

2012–2016Jump to section titled 2012–2016

B.Tech, Mathematics and Computer Science at IIT Guwahati

Where my curiosity about computation and cognition first took root. Research on emotions in online communities (Hanyang University, Seoul) and statistical analysis (Indian Statistical Institute, Kolkata).

PublicationsJump to section titled Publications

Patents from my work in legal AI:

  • System and method for intelligent generation of privilege logs (US20230325601A1)
  • System and method for automatic identification of legal entities (US20230325425A1)
  • Systems and methods for self-training a communication document parser (US20230325715A1)

ContributionsJump to section titled Contributions

  • Committee member, Industry Track of COLING 2025
  • AI Advisor for Data and AI Platform at Diligent Systems

ElsewhereJump to section titled Elsewhere

ContactJump to section titled Contact

Feel free to reach out via email ([email protected]) or connect on LinkedIn.

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