Karthik Buddha
Senior Data & Applied Scientist 3(GenAI) at LexisNexis | Ex-Microsoft, Amazon, Oracle, NXP |Alumnus BITS, UMN
- Role
- Senior Data & Applied Scientist 3 at LexisNexis Legal
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Karthik Buddha
I am an accomplished Senior Data & Applied Scientist-3 at LexisNexis Legal and Professional, with extensive experience architecting and delivering advanced machine learning and software solutions. My core expertise lies in AI-driven legal technology, where I have led the design, development, and optimization of scalable generative AI RAG platforms for legal research and drafting. I provide technical leadership and architectural guidance to cross-functional teams, ensuring alignment with organizational goals and industry best practices. I have set high standards for code quality, security, and maintainability, and have mentored junior engineers and scientists through code reviews, technical workshops, and knowledge-sharing sessions. I own the end-to-end delivery of high-impact projects, from requirements gathering and solution design to deployment and post-launch optimization. I proactively identify technical risks and opportunities, driving initiatives that enhance system reliability, scalability, and user value. My work includes the evaluation and integration of cutting-edge LLMs and NLP technologies, rapid prototyping, and balancing innovation with practical business needs. Specializing in large language models (LLMs) and classical NLP, I have built robust systems for advanced document parsing, intelligent content extraction, and workflow automation. My contributions have directly enabled the automation of complex legal drafting and research tasks, significantly reducing manual effort and increasing accuracy for end users. By combining deep technical expertise in LLMs with a strong understanding of legal workflows, I deliver innovative solutions that drive efficiency and value for legal professionals. Previously, I have held impactful roles at Microsoft, Amazon, NXP, and Oracle. I hold a Master’s in Computer Science from the University of Minnesota and a BE in Computer Science from BITS Pilani. My expertise spans deep learning, machine learning, and LLMs, developed through collaboration with leading research groups.
Experience
Senior Data & Applied Scientist 3
Feb 2026 — Present
Education
University of the Cumberlands
Doctor of Philosophy - PhD, Information Technology
Birla Institute of Technology & Science, Pilani
Bachelor’s Degree, Computer Science
2011 — 2015
University of Minnesota
Master of Science - MS, Computer Science
2017 — 2019
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