Looking for a job

SAI VINUTHNA TATA

@saivinuthnatata

Message

I build production Generative AI, RAG, and machine learning platforms across regulated industries.

United States

Message

What I'm looking for

I'm looking to build secure, scalable production AI systems, especially Generative AI, agentic AI, RAG, and machine learning platforms that solve meaningful enterprise problems in regulated domains.

At Quest Diagnostics, I architect Generative AI platforms on Azure that support 10K+ clinical documents and improved healthcare knowledge retrieval by 40%. I build AI copilots, agentic workflows, RAG pipelines, and document intelligence solutions for clinical assistance and enterprise automation.

Previously at BHG Financial and the State of New York, I delivered machine learning platforms for credit risk, fraud detection, underwriting, revenue forecasting, and financial planning. I’ve built end-to-end data, model, MLOps, and cloud deployment pipelines across AWS and Google Cloud.

I started by developing Python full-stack applications at Biocon, then expanded into data science for retail forecasting, recommendations, segmentation, and analytics at TJ Maxx. I bring hands-on experience across Python, Azure, AWS, GCP, LLMs, Spark, Kubernetes, and secure production AI systems.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Quest Diagnostics

Aug 2023 - Present (3 years 1 month)

Architected scalable Generative AI platforms on Azure using LLMs, Agentic AI, RAG, and workflow automation, supporting 10K+ clinical documents and improving healthcare knowledge retrieval by 40%. Engineered Agentic AI and multi-agent solutions using LangGraph, LangChain, and LlamaIndex for enterprise automation.

Applied AI / Machine Learning Engineer

BHG Financial

Feb 2021 - Jul 2023 (2 years 5 months)

Architected scalable Applied AI and Machine Learning solutions using AWS Cloud, Python, and Scikit-learn for credit risk assessment, underwriting analytics, fraud detection, and lending decision automation. Engineered end-to-end ML pipelines using Apache Spark, PySpark, Databricks, Amazon SageMaker, and MLflow.

Machine Learning Engineer

State of New York

Jun 2019 - Jan 2021 (1 year 7 months)

Architected scalable Machine Learning solutions on Google Cloud Platform (GCP) using Python and statistical modeling for revenue forecasting, fraud detection, budget optimization, and enterprise financial planning. Engineered end-to-end ML pipelines using Scikit-learn, TensorFlow, MLflow, Google AI Platform, and Cloud Storage.

Data Scientist

TJ Maxx

Oct 2016 - May 2019 (2 years 7 months)

Developed predictive ML models using Python, Scikit-learn, Random Forest, Gradient Boosting, and Logistic Regression to improve demand forecasting, inventory optimization, pricing strategies, merchandising analytics, and retail sales performance. Performed exploratory data analysis, feature engineering, statistical modeling, and data visualization.

Python SQL Pandas NumPy Scipy scikit learn Random Forest Gradient Boosting Decision Trees Logistic Regression Association Rule Mining ARIMA Holt Winters Matplotlib Power BI Tableau PostgreSQL SQL Server Git Agile Scrum

Python Full Stack Developer

Biocon

Feb 2015 - Aug 2016 (1 year 6 months)

Designed enterprise web applications using Python, Django, Flask, HTML5, CSS3, JavaScript, jQuery, and Bootstrap to automate pharmaceutical workflows, inventory management, operational reporting, and business process automation. Developed scalable backend modules using Python, Django MVC, and REST APIs.