Applied research
EventFlowSentry
A reproducible fault-injection and metamorphic-testing approach for finding event-time failures in streaming pipelines.
Controlled fault model
Metamorphic oracle
Evidence trail
Case studies in production AI, distributed systems, and developer tools. Each one covers the problem, design, trade-offs, testing, and results.
Case Studies
Applied research
A reproducible fault-injection and metamorphic-testing approach for finding event-time failures in streaming pipelines.
Controlled fault model
Metamorphic oracle
Evidence trail
AI infrastructure
A KV-cache-aware routing control plane for self-hosted and hybrid LLM fleets, built around explainable policy, locality, health, and fallback decisions.
Normalize and fingerprint
Filter and rank
Execute and explain
Developer tooling
A zero-dependency empirical Big-O checker that turns performance expectations into CLI and pytest assertions.
Generate observations
Fit growth models
Enforce expectations
Technical Skills
Technologies I use across backend systems, cloud infrastructure, applied AI, developer tools, and data-intensive services.
AWS-based distributed systems designed for reliability, security, and day-to-day operation.
Data-intensive services and APIs built for maintainability, observability, and scale.
Production generative AI, agent workflows, RAG, and evaluation pipelines with measurable results.
Tools that find quality, compatibility, and performance problems during development and CI.