The journey from code to clinical impact
An AI/ML Engineer passionate about building healthcare systems that make a real difference. I bridge the gap between cutting-edge AI research and practical clinical applications.
Currently focused on Healthcare AI, LLM Fine-tuning, and Clinical Decision Support Systems. My work spans from fine-tuning language models on TPUs to deploying production-ready medical AI applications.
When I'm not training models or debugging neural networks, you'll find me contributing to open-source projects like Apache Hamilton, Fedora Bodhi, and Microsoft TypeScript.
I believe in giving back to the community. Here are some of my recent contributions:
Added support for loading context from TOML files including pyproject.toml
View Pull Request →Building AI-powered medical triage system for emergency departments
Exploring GRPO and RLHF techniques for medical reasoning
Deploying clinical AI systems on Google Cloud Platform
Scalable architectures for healthcare systems
GCP and AWS for medical AI deployment
CI/CD pipelines for ML models
Production-ready AI systems
Always open to collaborate on Healthcare AI projects, LLM fine-tuning research, and innovative fullstack applications.
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