I'm Anay, studying CS and Statistics at the University of Arizona.
I previously interned as an engineer at startups and consulting firms. Now I do AI research at the Vision Systems and Intelligence Lab and the Sociotechnical AI Lab.
I like reading, investing, watching sports, music, and poker. I have played competitive tennis for eight years. Say hi!
Tucson, AZ
Risk-scoring service over a frozen classifier's outputs through a defined data contract. Evaluation pipeline over 90K+ images with leakage-safe, patient-level splits. Benchmarked routing baselines (softmax, entropy, MC Dropout) in a reproducible harness.
Tucson, AZ
Features for a digital health platform used by medical residency programs. Data pipelines unifying survey, wearable, and platform data. ML models for burnout risk among healthcare workers.
Remote
Predictive models and data processing for healthcare clients, covering patient analytics, reporting, and decision support over large, complex datasets.
Hyderabad, India
Enterprise software automating policy compliance, analytics, and code review workflows. Production systems that combine software engineering with large language models.
Tucson, AZ
Led investments for a $5M seed fund. Built dashboards and data pipelines tracking engagement and outcomes across entrepreneurship programs serving 2,000+ students.
Risk scoring service over frozen classifier outputs; leakage-safe evaluation over 90K+ images with patient-level splits. Comparing softmax, entropy, and MC Dropout routing baselines.
Testing how robust Jev's probability estimates are to paraphrased, reordered, or context shifted inputs, and whether they can improve high stakes classification decisions across healthcare, finance, and legal tasks, including when to route to human review.