Uday Joshi
@udayjoshi
Senior AI/ML Engineer at Discover shipping production LLM/RAG workflows with security and governance controls.
United StatesWhat I'm looking for
At Discover, I design and deliver production conversational AI and intelligent-automation systems for customer service, credit risk, and fraud detection. I use Python, REST APIs, and CI/CD to ship enterprise LLM and RAG workflows.
At Hackensack Meridian Health, I built clinical NLP and intelligent-automation services and implemented access controls, encryption, monitoring, and governance for healthcare-data integrations. I also developed ER visit-volume forecasting services to support staffing and resource-planning decisions.
At Brown & Brown, I built machine-learning and data-science solutions for fraud detection, insurance risk, pricing, claims forecasting, and underwriting. Earlier, at CenturyLink Business, I built an AWS telecom data platform and automated data-quality validation, reducing data-integrity issues by 40%.
Experience
Work history, roles, and key accomplishments
Senior AI/ML Engineer
Discover
Nov 2024 - Present (2 years)
Design and deliver production conversational AI and intelligent-automation systems for customer service, credit risk, fraud detection, and operational workflows. Implement AWS-aligned AI services, backend/API integrations, and production controls for security, scalability, and monitoring.
Built production clinical NLP and intelligent-automation services using Python, transformer-based models, REST APIs, Docker, and cloud-based ML infrastructure. Implemented identity and access controls, encryption, monitoring, explainability, governance, and healthcare privacy requirements for production healthcare-data integrations.
Built end-to-end machine-learning and data-science solutions for fraud detection, insurance risk modeling, pricing optimization, claims forecasting, and underwriting analytics. Developed production APIs, NLP pipelines, cloud data workflows, and model-operationalization practices using Python, AWS, Docker, MLflow, DVC, and CI/CD.
Built an AWS-based telecom data platform with S3 data-lake infrastructure and Kinesis-based real-time CDR processing. Implemented AWS infrastructure and access controls using S3, Glue, Lambda, Redshift, Terraform, and IAM.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master of Science, Computer Science
2011 - 2012
Master of Science in Computer Science from the University of North Texas from 2011 to 2012.
Vellore Institute of Technology
Bachelor of Technology, Computer Science
2007 - 2011
Bachelor of Technology in Computer Science from Vellore Institute of Technology from 2007 to 2011.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Social media
Job categories
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