Work

Research, publications, and professional experience.

Research

IEEE ICBC 2026

LPOR: A Layered Proof of Reserves Framework for Usable and Publicly Auditable Solvency Verification

Traditional Proof of Reserve systems are technically difficult for everyday users. LPOR introduces layered verification that separates lightweight public verification from heavyweight cryptographic verification, making exchange solvency verification significantly more accessible.

Layered VerificationTokenized LiabilitiesPublic RecomputationBitcoin-Compatible

🚧 In Development

LPOR Open Source SDK

Production-ready open-source implementation of LPOR. Enable anyone to deploy transparent Proof of Reserve systems without building cryptographic infrastructure from scratch.

SDKPublic VerifierCLIREST APIDocumentation

Future Research

Proof of Transaction (PoT)

Extending transparency beyond reserves toward verifiable transaction integrity on centralized crypto exchanges.

Transaction IntegrityExchange TransparencyOrder Matching VerificationPrivacy-Preserving Proofs

Research Roadmap

1
Proof of Reserves
2
Layered Proof of Reserves (LPOR)
3
LPOR Open Source SDK
4
Proof of Transaction (PoT)
5
Cryptographic Financial Transparency

Publications

IEEE ICBC 2026 • Brisbane, Australia

LPOR: A Layered Proof of Reserves Framework for Usable and Publicly Auditable Solvency Verification

Donggoo Kim, Rajesh Upadhayaya, Milosz Bator, Tao Le

Talks & Presentations

IEEE ICBC 2026

Presented LPOR research in Brisbane, Australia.

Boeing Engineering Presentations

Internal engineering conferences (2024 & 2025).

Changwon CEO Academy

Public Bitcoin education session.

Professional Experience

Boeing Korea

Software Engineer

Aug 2021 — Present

Airplane Configuration Manager

  • Designed backend systems for enterprise aircraft configuration management to support future airplane development trade studies.
  • Built a Python ingestion API improving processing speed by 40%.
  • Reduced latency by approximately 80% using multi-level caching.
  • Developed a version-control merge conflict resolution engine.
  • Built automation pipelines integrating GitLab, Jira, Kafka, and flight-testing systems.
  • Worked on Harmony-Fabric knowledge graph infrastructure.
  • Proposed and helped lead an AI agent proof-of-concept for engineering workflows.
PythonJavaNode.jsTypeScriptKafkaMySQLKubernetesDockerGitLab CI/CDKnowledge Graph