Led an 18 month storage engine project to rewrite Dolt’s key-value store for online transaction use-cases.

Optimized overall database performance on key benchmarks including a 3x reduction in latency for Sysbench OLTP queries and a 20x increase in throughput in the TPC-C concurrent transactions benchmark.

Continually delivered core database and versioning features including garbage collection, S3 replication, ACID transactions, pipelined SQL query execution, JSON storage, skip-list indexing, and SQL query diffing.

Created a serverless SQL API for Dolthub, allowing query access to thousands of open-source datasets.

Developed gRPC microservices and storage infrastructure for Dolthub’s cloud offering using Terraform, Docker, Kubernetes and AWS services including S3, DynamoDB, EKS, RDS Postgres, and Cloudwatch.

Instructed fellows in full-stack development with Mongo, React, and Node.js to give real-world experience

Partnered with local tech companies to host speaker events and mock technical software interviews

Ported spatial audio rendering engine to web, creating a new SDK with WebAssembly and Web Audio API

Drove customer acquisition by prototyping new mixed-reality and spatial audio experiences for Oculus VR

Designed a scalable cloud-based distributed architecture using AWS, Python, and C++

Developed low-latency libraries in C++ with efficient Python bindings for core ML

Optimized model performance and accuracy through experimentation and validation.

Assisted with business objectives including funding pitches, investor reports, and hiring