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Mason McBride

Junior Software Engineer specializing in AI, game theory, and blockchain protocols

Los Angeles, CAFull Time Software Engineer2 years experienceJuniorTechnologyOpen Source SoftwareAerospace & Defense
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About

Backend engineer who built gnocal, a ~150-line stateless Go service that turns on-chain event data into standards-compliant .ics calendar feeds consumable by Apple/Google Calendar, deployed on Fly.io. Also refactored MCTS into Monte Carlo Graph Search (Python-to-Rust) using deterministic tests and state canonicalization to handle transpositions, and implemented decentralized role-based ACLs in Gno for a smart-contract web hosting network (gno.land / All in Bits).

Experience

Full Time Software EngineerAll In Bits, Inc. (AiB)
Programmer/Researcher/Open Source SoftwareAll In Bits, Inc. (AiB)
Programmer/Researcher/Scientist/ContractorAir Force Research Laboratory (AFRL)
Scientist/Government ContractorAir Force Research Laboratory (AFRL)
Researcher/ProgrammerCarnegie Mellon University

Education

University of California, Berkeleybachelor, Pure Mathematics (Major); Science, Technology, and Society (Minor) (2024)

Key Strengths

  • Designed an end-to-end stateless backend translating on-chain events into RFC 5545 .ics feeds for Apple/Google Calendar
  • Strong bias for simplicity and correctness (no caching/persistence to avoid sync bugs; fail-fast boundary validation)
  • API contract-first mindset (strict schemas, consistent errors, cursor pagination, accurate OpenAPI for frontend enablement)
  • Security through least-privilege design (scoped auth, strict validation, intentional CORS, rate limits, parameterized queries)
  • Led a high-risk refactor with parallel run and deterministic equivalence tests (Python validation then Rust port)
  • Identified and fixed subtle algorithmic edge case (transpositions) by canonicalizing states to improve robustness and performance

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Languages

English

Skills

PythonRustGoCCUDAMachine LearningLarge Language Models (LLMs)Transformer ArchitecturesMulti-Head AttentionScaled Dot-Product AttentionQKV ProjectionsAttention MaskingResidual NetworksModel ProfilingGPU Performance Profiling