BACKEND SYSTEMS / DISTRIBUTED SYSTEMS / APPLIED SECURITY
Senior Software Engineer · Backend & Distributed Systems
I build reliable backend systems and explore how program analysis and reproducible experiments can improve software security and system reliability.
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🔐 PIIFlowA policy-aware Python analyzer for detecting sensitive-data flows into LLM APIs. Method: Traces data from source to sink through application code, then evaluates provider, trust-zone, and sanitizer rules. Evaluation: Reports 0.894 overall F1 across 90 synthetic flow cases. The repository documents benchmark scope and limitations. |
A Gymnasium benchmark for testing resource-allocation policies as synthetic workloads change. Design: Compares heuristic schedulers with a limited-compute DQN baseline across steady, burst, memory-shift, and node-failure scenarios. Evaluation: Uses matched scenario and seed pairs, with a frozen experimental manifest and published results. |
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| synthetic flow cases PIIFlow |
overall F1 on those cases Benchmark report |
synthetic workload scenarios CloudShift-RL |
Results describe the linked synthetic experiments, not production deployments.
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