Senior Data Scientist specializing in Agentic AI, Generative AI, and RAG systems, with a PhD in Physics and 4+ years of industry experience. Proven track record building production-grade AI across Legal Tech, Insurance, and Healthcare.
Currently architecting multi-agent orchestration and LLM evaluation frameworks for legal research at LexisNexis, with deep expertise in grounding, citations, and hybrid workflows combining LLM planning with deterministic guardrails. Previously led Agentic AI initiatives at Guardian Life and built end-to-end GenAI solutions at Cencora serving Pfizer.
Skilled in translating ambiguous business problems into measurable AI solutions—delivering $3M+ in freed capital, $2M quarterly new revenue, and 60% reduction in manual processing. Passionate about mentoring teams and communicating complex technical concepts to executive stakeholders.
Education
Ph.D. in Physics, Ohio University
M.S. in Physics, Ohio University
(NOTE: click MyProjects for more)
Skills
Agentic AI, Generative AI, LLMs, MLOps
Python, SQL, Bash
Azure, AWS, Snowflake
PowerBI, FastAPI, Streamlit
About Me
* Worked as Senior Data Scientist (Agentic AI) in LexisNexis building Agentic Project using MCP connectors for Finance and Legal Agents.
Worked as Senior Data Scientist (Agentic AI) in Guardian Life Insurance building Agentic solution using RAG system for Insurance Verification Project.
Worked as Senior Data Scientist (AI&ML) in Cencora building ML pipelines and AI chatbot for medical datasets.
1. Active in ML and Data Science since my MS and PhD in Physics from 2014 with hundreds of github repos.
(gitHub repos)
2. Helped thousands of developers in stackoverflow with 17000+ reputation and more than 5 million page views.
(stackoverflow)
3. 10+ years of experience in ML and building own data science softwares.
(personal module)
4. Aspirant of automation and efficiency with many automation workflow design experience.
(MacOS App Alfred Workflows)