Iβm a graduate Computer Science student focused on building real-world AI systems and scalable backend architectures.
I donβt just train models.
I design APIs.
I structure databases.
I containerize services.
I think about security, compliance, and production readiness.
My work sits at the intersection of:
- π§ Machine Learning & Deep Learning
- βοΈ Backend Engineering
- π Secure & Compliant System Design
- π€ LLM-Powered Applications (RAG, embeddings, model APIs)
- Fine-tuning foundation models (MedSAM) for medical image segmentation
- Retrieval-Augmented Generation (RAG) systems using embeddings + FAISS
- FastAPI-based backend services with authentication and database integration
- Dockerized AI applications ready for deployment
- Secure artifact registry systems with access control
- Scalable backend system design
- Production ML deployment strategies
- Advanced model optimization
- Clean architecture principles
- Distributed systems fundamentals
[
](https://linkedin.com/in/Rithvik Pranao Nagaraj)