Incoming Summer 2026

Mesh networking algorithms

• Added correctness guarantees to core infrastructure via property-based testing, validating incentive logic under edge cases

• Designed and optimized database infrastructure with advanced indexing and query strategies, enabling 4 billion+ tokens of inference monthly at 500+ QPS on AWS, and ensuring reliability under high-load conditions

• Engineered and scaled a robust crypto incentive mechanism on the Bittensor blockchain (subnet 62), leveraging Python, SQL, and TypeScript to deliver a state-of-the-art agent (73.6% on SWE-Bench Verified)

• Developed real-time monitoring and analytics platforms (React, Next.js, WebSockets) for live token flow, agent performance, and system health, supporting data-driven decision-making across a distributed network

• Architected high-throughput C# data pipelines processing millions of trace files for Tier 1 telecom carriers, enhancing network reliability for millions of users across North America and New Zealand

• Applied combinatorial pruning over XYZ tile hierarchies, reducing visualization latency (15.7s to <1s) while preserving correctness

• Led technical initiatives and mentored co-op students, delivering production-grade solutions recognized with MVP award and adopted by international carriers

• Built scalable sentiment analysis pipelines using multi-agent LLMs, enabling real-time insights across hundreds of conversations with advanced search, sort, and filter features

• Reduced SQL query latency from 6+ minutes to ~180ms through schema redesign and strategic indexing, dramatically improving system responsiveness and decreasing database load

• Created a modular API abstraction layer, facilitating seamless integration with 4+ Property Management System APIs