About me
The story behind the code
I'm Ruthvik Nath Bandari, an AI/ML engineer who treats models as systems: data in, evidence-traceable output out, with an eval suite deciding what ships. I'm pursuing my M.S. in Artificial Intelligence at Northeastern University (GPA 4.0), working across clinical NLP, agentic AI, and applied LLM systems.
Clinical NLP & Health AI
PubMedBERT NER, DINOv2 medical imaging, and evidence-traceable extraction from clinical and policy text.
Agentic Systems & RAG
Multi-stage LLM pipelines with hybrid retrieval (pgvector plus BM25) and groundedness verification.
Evaluation & HPC
Leakage audits, calibration, and honest metrics, trained on SLURM GPU clusters. Nothing ships without numbers.
Now
Research Assistant, Northeastern University
Two lines of work: regulatory-affairs AI for Dr. Rominder Singh (a global drug-regulatory RAG dataset, then a Canvas-embeddable RAG tutor), and a full-stack higher-ed compliance web application with institution-ingestion automation at CHEW.
Off the keyboard, I shoot photography. See the gallery
At a glance
M.S. in Applied AI at Northeastern
AI/ML engineer working at the intersection of deep learning, healthcare imaging, and applied NLP — shipping research-grade systems alongside the coursework.
4.0
GPA
Boston
MA, USA
Education
M.S. in Artificial Intelligence
2025 – 2027Northeastern University · GPA 4.0
B.E. Computer Science (AI)
2021 – 2025Sathyabama Institute of Science and Technology
Recognition