name: Siri Yellu
role: Machine Learning | Data Science | AI Research | Data Engineering
education: MS Computer Science (Data Science), Kennesaw State University
location: Marietta, GA | Open to Remote & Relocation
what_i_do:
- Build end-to-end AI systems from research to deployment
- Design ML pipelines for healthcare, computer vision, and NLP
- Develop RAG + multi-agent LLM systems
- Create data analytics dashboards and ETL pipelines
- Translate research ideas into real-world data products
domains:
- Machine Learning & Applied AI
- Data Science & Advanced Analytics
- Computer Vision & Medical Imaging
- NLP, LLMs & Retrieval-Augmented Generation
- Data Engineering & Pipelines
- MLOps & Deployment Systems> Multi-Agent RAG & LLM automation systems
> Fruit Fly behavior tracking using YOLO-Pose
> Healthcare AI & computational pathology research
> Data engineering and analytics pipelines| Category | Technologies |
|---|---|
| Languages | Python • SQL • R • Java • C++ • JavaScript |
| Machine Learning & AI | PyTorch • TensorFlow • Scikit-learn • Transformers • LLMs • RAG • Agents |
| Data & Analytics | Pandas • NumPy • Tableau • Power BI |
| Tools & Deployment | Docker • AWS • Streamlit • Git |
- 🧬 Fruit Fly Pose Tracking System — YOLO-Pose + multi-object tracking + behavioral metrics
- 🧠 AI-Agents (RAG Repository Assistant) — multi-agent RAG with citation-grounded responses
- 📊 Logistics Optimization Dashboard — Tableau + Python operational analytics
- 🌎 EcoDataAnalytics — climate & migration modeling + visual analytics
+ Healthcare AI / Computational Pathology
- Tumor–stroma survival prediction modeling
- PanNuke & NuCLS dataset experimentation
- Segmentation pipelines & feature optimization
+ NLP & LLM Systems
- Retrieval-Augmented Generation (RAG)
- Multi-agent reasoning workflows
+ Computer Vision
- YOLO-based pose tracking systems
- Face recognition & real-time inference pipelines
⭐ Building AI, Machine Learning, and Data Science systems that move from research → real-world impact.