Curriculum Vitae

Academic and professional background

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Education

PhD in Computer Science — Georgia Institute of Technology (Expected)

Dissertation: RAPID-AI: Reasoning, Analysis, and Planning for Interactive Decision-Making with Language Models

Advisors: Mark Riedl (Associate Director, ML Center) & Sudheer Chava (Chair, Finance)

Focus: Language-model systems for interactive, high-stakes decision-making in socio-technical systems

Experience

Change Healthcare

Healthcare technology and analytics at scale. Built ML systems for clinical insights and decision support.

Komodo Health

Healthcare intelligence platform. Real-world evidence generation, analytics pipelines, and ML infrastructure.

LendUp

Financial inclusion through responsible lending technology. Risk modeling, credit decisioning, and compliance systems.

RichRelevance

Personalization and recommendation systems. Built and deployed ML models serving millions of daily users.

Skills

Programming Languages

Python, SQL, R, JavaScript, Go, Bash

Machine Learning

PyTorch, TensorFlow, Hugging Face, scikit-learn, XGBoost, LangChain

Infrastructure

AWS, GCP, Docker, Kubernetes, Airflow, MLflow, Ray

Domains

Socio-Technical Systems (STS), Reasoning & Planning, Grounded Evaluation, Interpretability & Trust Calibration, NLP/LLMs, Financial ML, Healthcare Analytics

Publications & Recognition

Venues: ACL, COLM, NeurIPS, AAAI

Support: DARPA, Together AI, and collaborators in open-source ecosystems

See my Research page for a complete list of publications.

Contact

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