Building Reliable Software and Agentic AI Systems | M.Sc. CS @ UALR (GPA: 4.0) | ex-Georgia Tech/Emory Research Intern
✅ Proven impact in high-stakes AI:
- Boosted task completion by 130% for smaller LLMs via RL optimization (Qwen)
- Cut biomedical image analysis runtime by 50% at Madabhushi Lab (Georgia Tech/Emory)
- Increased RAG retrieval accuracy by ~75% for UALR admissions chatbot
✅ End-to-end ownership: From research (biomarker validation, TLS segmentation) → production (Turfhub app, Upliftt AI agents)
✅ Domain versatility: Biomedical AI, multi-agent systems, MLOps, and LLM applications
AI/ML: ["PyTorch", "TensorFlow", "DSPy", "LangGraph", "RL", "RAG", "ViT"]
Cloud: ["AWS", "Docker", "Firebase", "MLflow", "Metaflow"]
Languages:["Python", "JavaScript/TS", "C++", "SQL"]
Domains: ["Agentic AI", "Biomedical ML", "MLOps", "LLM Safety"]- Open to: Research Scientist, AI Engineer, and LLM/Agentic AI roles (Internship • Full-time • 2026 Start)
- Location: Little Rock, AR | Remote-friendly | Relocation-flexible


