I'm an LLM/ML Specialist at GenomAI building AI-powered clinical decision support systems. With 3+ years developing production-ready generative AI solutions, I specialize in RAG architectures, LLM fine-tuning, and scalable AI systems for healthcare applications.
My expertise spans large language models, vector databases, HIPAA-compliant AI systems, and cloud deployment. I focus on transforming complex AI requirements into production-ready solutions that deliver real-world impact.
🎯 Professional Highlights:
- LLM/ML Specialist at GenomAI developing healthcare AI systems
- Former Research Associate at Harvard University (ML & organizational modeling)
- Dual degree in Computer Science & Mathematics (4.7/5.0 GPA)
🔍 What I'm working on
- 🏥 Healthcare AI: Building HIPAA-compliant clinical decision support systems with RAG pipelines
- 🤖 LLM Engineering: Fine-tuning models with PEFT methods (LoRA, QLoRA) for domain-specific applications
- ☁️ Production AI: Deploying scalable inference pipelines on cloud infrastructure with sub-second response times
- 🔬 Research: AI safety, model evaluation, and explainable AI systems
Python |
PyTorch |
HuggingFace |
LangChain |
Google Cloud |
Docker |
Kubernetes |
Streamlit |
📊 Full Tech Stack
| Category | Technologies |
|---|---|
| LLM & RAG Systems |       |
| ML Frameworks & PEFT |      |
| NLP & Text Processing |     |
| Programming Languages |     |
| Cloud & MLOps |      |
| Data & Analytics |     |
| API & Web Development |    |
| DevOps & Automation |    |
- Continual Learning & Lifelong AI: Methods for streaming data without catastrophic forgetting
- Explainable AI (XAI): Interpretable models and post-hoc explanation techniques
- AI Safety & Evaluation: Bias detection and safety monitoring for production systems
- Healthcare AI: HIPAA-compliant generative AI for clinical applications
