Projects & products
A focused set of product, platform, infrastructure, and open-source projects that show scale, ownership, implementation depth, and production context.
Distributed systems
Re-architected access scanning for SMB, OneDrive, and Microsoft API sources using parallel batch processing and throughput-focused backend design.
Increased SMB and OneDrive scan throughput by 22x, from 2M to 45M records per day, and Microsoft API throughput by 4x, from 1M to 4M records per day.
Data infrastructure
High-volume real-time ingestion pipeline for audit logs from SharePoint, Google Drive, and NetApp.
Created the data stream used as a foundation for downstream ransomware detection and automated response features.
Product infrastructure
Built and maintained primary enterprise data-source connectors from zero-to-one, including Azure Blob, Salesforce, Box, and Dropbox.
Expanded the platform's data coverage while keeping integrations maintainable, scalable, and production-ready.
Analytics architecture
Backend ingestion service for Lightbeam Lens, using ClickHouse to serve enterprise analytics over file metadata and lineage.
Built optimized ingestion and views that help visualize metadata relationships and lineage across enterprise storage systems.
Marketplace backend
Bi-directional Uber Eats integration plus operational tooling across Google Maps, Airtable, and Slack.
Enabled real-time inventory syncing and automated order ingestion, opening a new sales channel and increasing daily order volume by 30%.
Open source
Implemented the FV homomorphic encryption scheme from scratch in PySyft and improved usability for privacy-preserving machine learning workflows.
Used Microsoft's SEAL project as a reference and shaped the work into a more usable library path for PyTorch and TensorFlow users.