AI, Data Science & Software Engineering | Graph RAG, NLP & Scalable Pipelines | Cloud & DevOps (AWS, Docker)
Modernizing COBOL legacy systems, enhancing data retrieval, and building knowledge graphs with Neo4j & Python.
- Refining ETL pipelines and data visualization
- Expanding my AWS skills (Bedrock, S3) for scalable cloud solutions
- Data pipelines, graph databases, and AI applications
- Always open to exchanging ideas and insights! Also keen on new podcasts, white papers, and/or books!
Built a Graph RAG proof of concept using:
- Neo4j, LangChain, LLMs, OpenAI embeddings
- PageRank, Weakly Connected Components (WCC) to improve data retrieval
Developed a full-stack Django-based web app integrating machine learning CNN-ResNet50 for real-time patient data management.
🔹 Tech Stack: Python, TensorFlow, Django, Tailwind CSS, FastAPI, CUDA
🔹 Model Repo: GitHub
🔹 Web App Repo: GitHub
- Prior to transitioning into tech, I earned my degree in Biochemistry.
- I also spent 10 years in healthcare and research, specializing in clinical workflows, hands-on patient care, medical claims, and healthcare informatics.
- I speak Spanish & Japanese
- I love video games and cats
- I can recite the alphabet backward, including the song part of “Now I know my ABCs” 🎶
- I have no nerves in my right thumb
📧 Email: suminmeans@gmail.com
💼 LinkedIn: Sumi Nia Means