Mayur Patidar

Ai Machine Learning Engineer @Truveta

Irving, TX, US

Designed and deployed a chronic care forecasting system using Vision Transformers (ViT), ClinicalBERT, and LSTM to predict progression for patients with diabetes, CHF, and COPD.• Built scalable ML pipelines on Azure Machine Learning with real-time scoring endpoints and batch scheduling using Azure Functions.• Integrated FHIR-based patient records into ingestion pipelines using Azure Data Factory, ensuring structured EHR data compliance with HL7 and FHIR standards.• Fine-tuned Mistral and LLaMA models using LoRA and PEFT techniques for domain-specific summarization and clinical Q&A.• Implemented RAG pipelines with ChromaDB, LangChain, and hallucination mitigation to enable safe and explainable document retrieval.• Performed prompt evaluation and auditing to assess LLM output quality and reduce risk in patient-facing tools.• Designed and optimized multimodal generative models for NLP-based insights, improving model performance.• Containerized ML services using Docker, managed CI/CD via Azure DevOps Pipelines, and deployed workflows on AKS.• Secured APIs with Azure RBAC, Key Vault, and encryption, enforcing full HIPAA and SOC 2 compliance.• Monitored model drift and performance using Azure Monitor, triggering retraining through integrated pipelines.• Built interactive visualizations in Power BI for care managers and clinical decision support teams.• Tracked model lifecycle, experiments, and metadata using MLflow, improving transparency and reproducibility.• Developed automated testing with Pytest to ensure model reliability and correctness.• Integrated structured and unstructured patient data with unified logging for analytics and compliance audits.• Collaborated with cross-functional teams (DevOps, clinical analysts) to scale production services and meet SLAs.• Authored technical documentation, workflow diagrams, and compliance reports to support audit and internal reviews.

RGPV University

Bachelor of Engineering, Computer Science

Southern Arkansas University

Master of Science - MS, Computer and Information Sciences, General