About me
The story behind the code
I'm Bandari Ruthvik Nath — 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 pipelines, MONAI imaging, evidence-traceable extraction from clinical and policy text.
Agentic Systems & RAG
Multi-stage LLM pipelines, no-vector-DB retrieval, multi-agent orchestration with n8n and Apple CLARA.
Evaluation & Reliability
Hallucination detection, context-window optimization — nothing ships without F1/MRR numbers attached.
Now
Research Assistant — Center for the Future of Higher Education & Work, Northeastern CPS
Building multi-stage LLM extraction pipelines that turn dense policy documents into evidence-traceable JSON, served through a React 19 + Vite frontend deployed via SLURM on Northeastern's Explorer HPC cluster.
Selected work
Blood Report Analyzer
PubMedBERT with hybrid FAISS + TF-IDF retrieval for clinical reports
MindCare AI
LLM mental-health chatbot, beating a MetaGPT baseline on context retention
NeuroFace
Face recognition system, peer-reviewed and published in IOSR JCE
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