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Senior Artificial Intelligence / Machine Learning Engineer with 6+ years of experience designing and deploying enterprise-grade AI solutions across Healthcare, Pharmaceutical, and Life Sciences. I build scalable ML, Deep Learning, NLP, Computer Vision, and Generative AI systems that improve clinical and operational outcomes. I specialize in end-to-end MLOps (training to deployment, monitoring, and continuous retraining), responsible AI/gov-ernance, and building LLM-based enterprise platforms such as semantic search and Retrieval-Augmented Generation (RAG) using OpenAI GPT, LangChain, and LlamaIndex. I collaborate closely with clinical, compliance, engineering, and research teams to deliver production-ready solutions.…Senior Artificial Intelligence / Machine Learning Engineer with 6+ years of experience designing and deploying enterprise-grade AI solutions across Healthcare, Pharmaceutical, and Life Sciences. I build scalable ML, Deep Learning, NLP, Computer Vision, and Generative AI systems that improve clinical and operational outcomes. I specialize in end-to-end MLOps (training to deployment, monitoring, and continuous retraining), responsible AI/gov-ernance, and building LLM-based enterprise platforms such as semantic search and Retrieval-Augmented Generation (RAG) using OpenAI GPT, LangChain, and LlamaIndex. I collaborate closely with clinical, compliance, engineering, and research teams to deliver production-ready solutions.

Sai Bharathwaj Sangam

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Senior Artificial Intelligence / Machine Learning Engineer with 6+ years of experience designing and deploying enterprise-grade AI solutions across Healthcare, Pharmaceutical, and Life Sciences. I build scalable ML, Deep Learning, NLP, Computer Vision, and Generative AI systems that improve clinical and operational outcomes. I specialize in end-to-end MLOps (training to deployment, monitoring, and continuous retraining), responsible AI/gov-ernance, and building LLM-based enterprise platforms such as semantic search and Retrieval-Augmented Generation (RAG) using OpenAI GPT, LangChain, and LlamaIndex. I collaborate closely with clinical, compliance, engineering, and research teams to deliver production-ready solutions.…Senior Artificial Intelligence / Machine Learning Engineer with 6+ years of experience designing and deploying enterprise-grade AI solutions across Healthcare, Pharmaceutical, and Life Sciences. I build scalable ML, Deep Learning, NLP, Computer Vision, and Generative AI systems that improve clinical and operational outcomes. I specialize in end-to-end MLOps (training to deployment, monitoring, and continuous retraining), responsible AI/gov-ernance, and building LLM-based enterprise platforms such as semantic search and Retrieval-Augmented Generation (RAG) using OpenAI GPT, LangChain, and LlamaIndex. I collaborate closely with clinical, compliance, engineering, and research teams to deliver production-ready solutions.

Available to hire

Senior Artificial Intelligence / Machine Learning Engineer with 6+ years of experience designing and deploying enterprise-grade AI solutions across Healthcare, Pharmaceutical, and Life Sciences. I build scalable ML, Deep Learning, NLP, Computer Vision, and Generative AI systems that improve clinical and operational outcomes.

I specialize in end-to-end MLOps (training to deployment, monitoring, and continuous retraining), responsible AI/gov-ernance, and building LLM-based enterprise platforms such as semantic search and Retrieval-Augmented Generation (RAG) using OpenAI GPT, LangChain, and LlamaIndex. I collaborate closely with clinical, compliance, engineering, and research teams to deliver production-ready solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior Artificial Intelligence / Machine Learning Engineer at Baylor Scott & White Health

March 1, 2025 - Present

Designed an enterprise-wide Generative AI architecture using OpenAI GPT, LangChain, and LlamaIndex with Retrieval-Augmented Generation (RAG) to deliver context-aware clinician assistance grounded in internal clinical documentation while maintaining HIPAA compliance. Built predictive models for patient readmission risk, emergency department utilization, chronic disease progression, and appointment no-show prediction using TensorFlow/PyTorch and gradient boosting methods. Developed NLP pipelines using transformer models to extract diagnoses, medications, allergies, procedures, and observations from unstructured clinical notes. Implemented semantic search with embeddings stored in Pinecone and FAISS, enabling fast retrieval of relevant patient information. Built computer vision models to support radiology workflows. Established MLOps pipelines with MLflow, Kubeflow, Docker, Kubernetes, and Azure DevOps for automated deployment, monitoring, rollback, and versioning; added drift monitoring

Artificial Intelligence / Machine Learning Engineer at Eli Lilly and Company

April 1, 2024 - February 28, 2025

Developed deep learning and machine learning solutions to accelerate pharmaceutical research and precision medicine. Built models for molecular property prediction, drug candidate prioritization, and biomarker identification. Designed pipelines to analyze genomic datasets, laboratory data, and clinical trial outcomes for predictive analytics. Built NLP systems to extract biomedical entities and relationships from scientific publications. Implemented enterprise RAG to enable natural-language querying of research repositories. Fine-tuned transformer models for pharmaceutical terminology and clinical documentation. Created recommendation engines to identify optimal patient cohorts for clinical trial enrollment. Built scalable Spark and Databricks pipelines to process structured and unstructured biomedical data. Managed end-to-end model lifecycle with MLflow, Docker, Kubernetes, and Azure Machine Learning, and applied explainable AI techniques to support scientific validation and FDA docum

Machine Learning Engineer at Johnson & Johnson

March 1, 2019 - June 30, 2023

Modernized pharmaceutical manufacturing operations by applying AI to production facilities, quality assurance, predictive maintenance, and supply chain optimization. Built predictive maintenance models using sensor telemetry to detect equipment failures early. Developed algorithms to optimize manufacturing schedules and inventory planning. Created computer vision CNN-based systems for automated inspection and defect detection. Implemented real-time anomaly detection models to identify manufacturing deviations. Built NLP applications for automated classification of quality investigations, deviation reports, and compliance documentation. Built scalable ETL pipelines integrating ERP, MES, laboratory, and manufacturing systems into centralized AI platforms. Deployed ML services using Docker, Kubernetes, and cloud infrastructure, and established monitoring dashboards for prediction accuracy, model health, and manufacturing KPIs. Improved models using feature engineering, ensemble learning,