Sai Tejaswini
Quantitative Risk & AI Automation | LangGraph · RAG · LLM Fine-Tuning · MCP Servers | Open to AI/ML Roles
- Role
- Quantitative Risk & Modeling Analyst at Comerica Bank
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Sai Tejaswini
I started in quantitative risk modeling. Then I discovered I could automate most of it with AI.Over the past 3 years I\'ve deployed multi-agent RAG pipelines, fine-tuned LLMs to 93.9% accuracy, and built MCP servers for regulatory compliance validation, all inside a high-governance financial environment where reliability and auditability aren\'t optional.Building AI under regulatory scrutiny has sharpened something most ML engineers don\'t develop early: the discipline to build systems that are not just accurate, but explainable, documented, and built to last.Currently open to AI Automation and Workflow Architecture roles where the challenge is turning operational complexity into intelligent, scalable systems.
Experience
Quantitative Risk & Modeling Analyst
Aug 2024 — Present · Frisco, TX, US
Building production-grade AI automation in a high-governance financial environment. Deployed multi-agent RAG systems using LangGraph, MCP servers with 10 integrated tools for SR 11-7 compliance validation, and fine-tuned LLMs achieving 93.9% credit risk classification accuracy. Automated ETL pipelines, reporting workflows via Power Automate, and model performance dashboards across 6 concurrent initiatives - all built to meet regulatory audit standards.
Education
The University of Texas at Dallas
Master of Science - MS, Computer Engineering
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