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Generative AI Engineering @ Wells Fargo | LLM Infrastructure | RAG Pipelines | Agentic AI | Trust & Safety Guardrails | Arize Observability
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Wells Fargo
Data Scientist
June 26, 2026 – Present
sawantudayan.github.io
March 15, 2026 – Present
sawantudayan.github.io — Dev.to repository
View Projectarize-llm-observability-evaluations
October 19, 2025 – October 19, 2025
Leverage the power of large language models to evaluate your generative model or application for hallucinations, toxicity, relevance of retrieved documents, and more.
View Projectgradio-mcp-server
June 27, 2025 – June 28, 2025
Gradio MCP Server with sentiment analysis tool that can be used by both human users through a web interface and AI models through the MCP protocol.
View Projectsnowflake-llm-assistant
May 3, 2025 – Present
Leveraging Snowflake's latest capabilities, alongside structured data ingestion via HuggingFace Model and a dynamic user interface using Streamlit.
View Projectnumdrift
February 6, 2025 – February 24, 2025
A high-performance, memory-efficient library for numeric data manipulation with native missing data support.
View Projectneeds-based-recommendation-system
February 19, 2024 – February 19, 2024
The goal of the second business case is to build a recommendation system which predicts whether a new client of a bank is inclined to income investments or accumulation investments and assign different products to each client based on the prediction.
View Projectclient-segmentation
February 19, 2024 – February 19, 2024
The goal of the first business case is to segment clients of a bank in order to be able to assign different products to each marketing persona.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, aligning with a Data Scientist role. The diversity of projects, from core data manipulation libraries to recommendation systems and LLM applications, suggests a proactive and curious individual. However, the lack of team-based or collaborative projects in the provided list makes it difficult to fully assess cultural fit beyond individual initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.