name: Ishaan Potle
role: M.S. Data Science @ Stony Brook University
focus: [ Applied AI, Health & Risk Modeling, Graph Learning ]
exploring: [ Graph Neural Networks, Distributed Systems, System Design ]
open_to: [ Research collabs, OSS contributions, Full-time roles ]
| LANGUAGES |
ML & DATA |
| FRAMEWORKS |
DATA INFRA |
| CLOUD & DEVOPS |
TOOLING |
|
Privacy-preserving federated learning pipeline for clinical risk scoring — trains across sites without centralising patient data.
|
Graph neural network that flags money-laundering rings by learning over transaction graphs instead of isolated rows.
|
|
Retrieval-augmented clinical assistant with grounded citations and guardrails against unsupported medical claims.
|
Fairness-aware ranking system that audits and mitigates demographic bias in automated candidate screening.
|
|
Network analysis of global food trade to quantify shock propagation and surface fragile supply routes.
|
Running notebook lab — modelling ideas, benchmarks and write-ups that later graduate into full projects.
|
