Invested up to $150k in student founders, powered by General Catalyst.

• Improving academic search engine’s precision and recall for lookup queries of a particular paper, enabling launch of upcoming products resulting in lookups doubling from 17% to 33% of all queries

• Added publisher id lookups, achieving win-loss ratios >90% on millions of citations, by writing indexing MapReduces in C++

• Adjusted service-time ranking by creating production workflows for journal parsing, citation scoring, and query normalization

• Prototyped a new video ingestion service, handling RUSH protocol streams, to support low-latency, high-quality performance on degraded networks and to act as an IETF artifact, shaping future QUIC-based protocols

• Designed a server architecture of 7 co-functioning classes by leveraging multithreading and asynchronous programming in C++

• Developed test infrastructure of mock clients, unit testing suites, and automated monitoring to support easy platform integration

• Streamlined filing of a federal project generating $60M ARR, by migrating 25 TB from an on-premises database to Azure cloud

• Recorded thousands of miles of multi-media network maps by combining usage of Databricks, Data Factories, and Data Lakes