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@avinashuser6

Senior Generative AI Engineer at Deloitte building healthcare RAG and agentic AI workflows that cut manual document review by 45%.

United States
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At Deloitte, I developed a healthcare Generative AI solution with AWS Bedrock, Claude, and LangChain that reduced manual document review by 45%. I also improved clinical and claims document retrieval accuracy by 32% through RAG search refinement.

I automated multi-step healthcare workflows with LangGraph, Semantic Kernel, ReAct, and MCP, and built integrations for HL7, FHIR, and EDI X12 data. These systems support document processing and access to clinical and claims information.

At UHG, I developed a clinical NLP and document processing platform using PyTorch and Hugging Face Transformers, reducing manual processing time by 30%. I also built claims classification and risk-prioritization models to help teams identify cases for earlier review.

Earlier, I developed real-time fraud detection for American Express, personalization and demand forecasting for Hilton, credit risk analytics for CSI, and retail data pipelines at EXL Service. My work spans production AI/ML, data engineering, and model deployment across healthcare, financial services, hospitality, and retail.

Experience

Work history, roles, and key accomplishments

DE
Current

Senior Generative AI Engineer

Mar 2024 - Present (2 years 7 months)

Developed a Generative AI solution for healthcare document review and knowledge search using AWS Bedrock, Claude, RAG, and LangChain, reducing manual review by 45%. Automated complex healthcare tasks with agentic AI and built scalable data pipelines and microservices.

UnitedHealth Group logoUG

Senior AI/ML Engineer

UnitedHealth Group

Dec 2022 - Feb 2024 (1 year 2 months)

Developed a clinical NLP and document processing platform on Azure using PyTorch, Hugging Face Transformers, and Azure Machine Learning, reducing manual processing time by 30%. Designed Python microservices and REST APIs on AKS with HIPAA compliance.

American Express logoAE

Senior Machine Learning Engineer

Jul 2021 - Nov 2022 (1 year 4 months)

Developed an Azure-based real-time fraud detection platform using XGBoost, Kafka, and Azure Event Hubs, improving detection accuracy by 25% and reducing false positives by 18%. Designed Python microservices and REST APIs secured with OAuth 2.0 and JWT.

Hilton logoHI

Machine Learning Engineer

Oct 2019 - Jun 2021 (1 year 8 months)

Developed an AWS-based personalization and demand forecasting platform using Amazon SageMaker, TensorFlow, and XGBoost, improving property recommendations and giving revenue teams earlier insights for occupancy, pricing, and inventory planning.

CS

Data Scientist

CSI

Jan 2018 - Sep 2019 (1 year 8 months)

Built a GCP-based credit risk analytics platform using BigQuery, Python, Scikit-learn, and XGBoost to automate borrower risk scoring, improve assessment consistency, and support faster, data-driven credit approval decisions.

EXL Service logoES

Data Engineer

Jul 2015 - Dec 2017 (2 years 5 months)

Developed centralized ETL and reporting pipelines using SSIS, Informatica, and SQL Server, reducing manual data consolidation and giving business teams timely visibility into sales, inventory, and store performance.

Education

Degrees, certifications, and relevant coursework

Avinash hasn't added their education

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