Professional Experience

Where I've built.

1. March 2026 – Present

   Engineering Project Manager: AI/ML Data Operations

   Apple (via INSPYR Solutions)

   • Directed a global AI/ML data collection program spanning 3+ concurrent projects, acquiring and validating 10,000+ training assets to directly support deployment of core ML models for consumer-facing features.
   • Transformed the data validation strategy by automating QA through similarity clustering and Tableau analysis across the asset dataset, cutting manual review time and strengthening model generalization readiness.
   • Drove company-wide data collection initiatives across Engineering, Operations, and vendor teams, achieving a 90% improvement in participant throughput while building proactive frameworks for on-time delivery.

2. July 2025 – September 2025

   Software Engineer Intern

   Nutanix

   • Engineered end-to-end trust infrastructure by implementing TPM-based attestation on physical AHV hosts, preventing malicious nodes from joining Prism Central (cluster management platform).
   • Integrated NVIDIA GPU attestation by enabling TEE and Confidential Compute (CC) mode on H100 GPUs, securing confidential AI/ML workloads.
   • Configured AMD SEV-SNP and NVIDIA Trust Outpost to bridge local and cloud attestation flows, validating GPU state and extending the distributed trust chain.

3. May 2025 – July 2025

   Data Engineer Intern

   Citylitics

   • Built data integration pipelines that automated extraction from Citylitics' web crawler, cleaning and curating 18M+ URLs into BigQuery with SQL: cutting noise by ~70% and halving query runtime.
   • Designed a human-in-the-loop labeling pipeline with anomaly detection and continuous updates to improve document vs. webpage classification accuracy in production ML models.
   • Drove the creation of a gold-standard curated dataset to accelerate ML dataset preparation and strengthen the reliability of the company's infrastructure intelligence platform.