Southern Methodist University
Minors: Computer Science & Arabic
Modified Carbapenem Antibiotics with Improved Activity Against KPC Carbapenemase-Producing Enterobacterales
US Patent Application 20240383899 A1 • Published November 21, 2024
- Built a TypeScript clinical AI framework for orchestrating multi-agent LLM workflows with tool-calling, retrieval, safety checks, and human-in-the-loop override controls.
- Engineered a context compiler + RAG layer that converts FHIR/EHR data into token-optimized, auditable context bundles with structured memory and model-agnostic API switching.
- Implemented a graph-based safety engine with suspend/resume execution, rule-driven guardrails, and streaming validation for compliant AI decisions in clinical environments.
- Architected React/Node.js platform with AWS Elastic Beanstalk, RDS (PostgreSQL), Cognito, and Stripe integration.
- Developed a lightweight admin console for order management, driver assignment, refunds, and status overrides to keep batches on schedule.
- Implemented LLM-powered customer interaction prototype for automated support + delivery FAQs across chat + SMS.
- Scaled from pilot to hundreds of monthly intercity deliveries, forming student organization partnerships across multiple Texas universities.
- Automated in-silico modeling pipeline using Python, MolSoft/ICM, RDKit and GROMACS + TensorFlow, integrating docking → property prediction → molecular dynamics validation.
- Designed modular compute workflows enabling distributed batch processing and task scheduling for GPU workloads.
- Correlated ML predictions w/ experimental outcomes, achieving top-quartile predictive accuracy for structure-activity relationships and extended SAR and QSAR analyses on C6/C8 analogs.
- Invented JDB-1-200, a modified carbapenem achieving 16× MIC reduction (8 → 0.5 μg/mL) against KPC-producing Enterobacterales via targeted stereochemical optimization.
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