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I am a dedicated AI and machine learning engineer with a strong focus on healthcare and applied AI solutions. My experience spans creating LLM-powered healthcare assistant applications, building intelligent medical documentation tools, and developing automated patient reminder systems to enhance clinical efficiency and patient care. I enjoy transforming complex data into actionable insights and building scalable AI models that make a real-world impact. With a Master's in Computer Science focusing on ML/AI from NC State University, I have led AI projects from concept through deployment, fine-tuned advanced language models, and developed predictive risk models. I am passionate about leveraging cutting-edge technologies like PyTorch, Transformers, and cloud services such as Google Cloud Platform to deliver intelligent solutions that improve healthcare and customer service operations.…I am a dedicated AI and machine learning engineer with a strong focus on healthcare and applied AI solutions. My experience spans creating LLM-powered healthcare assistant applications, building intelligent medical documentation tools, and developing automated patient reminder systems to enhance clinical efficiency and patient care. I enjoy transforming complex data into actionable insights and building scalable AI models that make a real-world impact. With a Master's in Computer Science focusing on ML/AI from NC State University, I have led AI projects from concept through deployment, fine-tuned advanced language models, and developed predictive risk models. I am passionate about leveraging cutting-edge technologies like PyTorch, Transformers, and cloud services such as Google Cloud Platform to deliver intelligent solutions that improve healthcare and customer service operations.

Kevin Gao

AI Engineer, Data Scientist, Developer, +2

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I am a dedicated AI and machine learning engineer with a strong focus on healthcare and applied AI solutions. My experience spans creating LLM-powered healthcare assistant applications, building intelligent medical documentation tools, and developing automated patient reminder systems to enhance clinical efficiency and patient care. I enjoy transforming complex data into actionable insights and building scalable AI models that make a real-world impact. With a Master's in Computer Science focusing on ML/AI from NC State University, I have led AI projects from concept through deployment, fine-tuned advanced language models, and developed predictive risk models. I am passionate about leveraging cutting-edge technologies like PyTorch, Transformers, and cloud services such as Google Cloud Platform to deliver intelligent solutions that improve healthcare and customer service operations.…I am a dedicated AI and machine learning engineer with a strong focus on healthcare and applied AI solutions. My experience spans creating LLM-powered healthcare assistant applications, building intelligent medical documentation tools, and developing automated patient reminder systems to enhance clinical efficiency and patient care. I enjoy transforming complex data into actionable insights and building scalable AI models that make a real-world impact. With a Master's in Computer Science focusing on ML/AI from NC State University, I have led AI projects from concept through deployment, fine-tuned advanced language models, and developed predictive risk models. I am passionate about leveraging cutting-edge technologies like PyTorch, Transformers, and cloud services such as Google Cloud Platform to deliver intelligent solutions that improve healthcare and customer service operations.

Available to hire

I am a dedicated AI and machine learning engineer with a strong focus on healthcare and applied AI solutions. My experience spans creating LLM-powered healthcare assistant applications, building intelligent medical documentation tools, and developing automated patient reminder systems to enhance clinical efficiency and patient care. I enjoy transforming complex data into actionable insights and building scalable AI models that make a real-world impact.

With a Master’s in Computer Science focusing on ML/AI from NC State University, I have led AI projects from concept through deployment, fine-tuned advanced language models, and developed predictive risk models. I am passionate about leveraging cutting-edge technologies like PyTorch, Transformers, and cloud services such as Google Cloud Platform to deliver intelligent solutions that improve healthcare and customer service operations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior ML Engineer at Augmedix

October 1, 2024 - August 25, 2025

Created LLM-powered healthcare assistant applications for ambient patient-doctor recordings to enhance clinical efficiency and patient care by building automated pipelines that convert audio recordings into highly accurate text transcripts enabling faster and more accurate LLM processing. Built intelligent documentation tools such as SOAP note and Gold Standard note generators to reduce provider note-taking time and improve consistency across medical records. Designed and launched CareCues, an automated patient reminder system to improve patient follow-up adherence and care plan compliance. Performed PEFT fine-tuning of Gemma models using PyTorch on Vertex AI with fine-tuned endpoints deployed on GCP for scalable, low-latency inference. Developed a Random Forest Classifier model for early onset diabetes risk assessment supporting proactive patient outreach and preventative healthcare strategies.

Lead Applied AI/ML Engineer at HighGear Inc

March 1, 2024 - August 25, 2025

Engineered AI-powered support ticket auto-labeling system to optimize customer service operations by accelerating ticket resolution. Developed an automated classification pipeline using advanced Hugging Face transformer models (RoBERTa, LUKE, XLNet) fine-tuned with PyTorch and TensorFlow ensuring high precision and recall. Led the Workflow.AI project from concept to deployment managing the entire production pipeline including custom prompt engineering, dataset creation, model fine-tuning, specialized text-to-visual translation layers, and UI/backend integration. Built and deployed user-facing tools using Python and PyQt5 providing a seamless interface for non-technical staff to interact with AI models.

Data Scientist at AvanSight

April 30, 2023 - August 25, 2025

Designed and implemented data processing pipelines to generate comprehensive pharmaceutical reports from large-scale clinical drug trial datasets. Conducted in-depth statistical analysis on heart treatment medications focusing on NT-proBNP protein level measurements as biomarkers for therapeutic decision-making. Built predictive risk models using sklearn, Bayesian Nets, and Gaussian Processes allowing early detection of high-risk patients enabling targeted interventions. Applied PyTorch-based Time Series Analysis to monitor long-term drug efficacy and adverse effects empowering clinicians to proactively adjust treatment plans.