MS Data Science · Graduate Research Assistant · Florida Atlantic University
"Build systems that think, visualize insights that speak."
I'm a Data Scientist and ML Researcher bridging the gap between academic rigor and real-world impact — from fairness-aware cardiovascular risk models trained on 551K+ patients to augmented reality experiences with 180 billion+ views.
My focus: Agentic AI, Reinforcement Learning, and Healthcare ML — building systems that are not just accurate, but equitable.
- MS in Data Science — Florida Atlantic University
- Graduate Research Assistant — VIP Research Track @ FAU
- Lensathon Winner — Lens Fest Extended (Snap Inc.)
- Boca Raton, Florida
| Project | What It Does | Stack | Impact |
|---|---|---|---|
| MOSAIC | Cardiovascular risk prediction platform with fairness-aware ML | XGBoost · Gemini · Next.js | 551K patients · 74% reduction in Black–White AUC gap |
| Health-Scribe | 9-agent RAG pipeline unifying fragmented health records into a single Health Engagement Score | Python · LLMs · RAG | Multi-agent orchestration |
| CareGuide | Autonomous healthcare navigation agent | RAG · LLMs · Streamlit | FAU Agentic AI Hackathon |
| Stochastic Cliff Walking | Benchmarks RL agents in high-variance environments — proving SARSA beats Q-Learning when failure is catastrophic | Python · OpenAI Gym | Research-grade RL study |
| CKD Risk Prediction | Chronic kidney disease risk classification | TypeScript · ML | Clinical decision support |
| SnapAR Portfolio | Augmented Reality lens experiences | Lens Studio | 180B+ views · Lensathon Winner |
AI & Machine Learning
Engineering & Web
Creative & Visualization
I write about AI systems, ML research, and lessons from building at scale on Medium →
I'm always open to research collaborations, AI/ML projects, and conversations about health equity in machine learning.
📬 sakethyalamanchili@outlook.com | 🌐 sakethyalamanchili.vercel.app