I build high-throughput, failure-tolerant systems for workloads where latency, scale and reliability matter.
I’m a Senior Software Engineer at ION Trading, working on production systems where concurrency, latency, large data volumes, failure recovery and operational correctness matter.
- Led a Java multithreading refactor that improved end-of-day trade processing by 20×.
- Built an off-heap persistent caching solution that accelerated supported workflows by up to 50×.
- Automated recovery for halted processing, reducing operational downtime by 90%.
- Built tooling for 100 GB+ production logs, reducing incident-triage time by 30%.
- Improved CI build time by 40% while reducing AWS cost by 35%.
TailCache · Tail-Latency Trade-offs in Java Caching
A reproducible systems benchmarking project comparing on-heap and off-heap Java caching under controlled workloads, with emphasis on latency distributions rather than headline throughput.
Current questions include:
- how payload size changes cache-operation latency;
- how on-heap and off-heap access differ at p50 / p95 / p99 / p99.9;
- how GC pressure and value materialization affect tail behaviour;
- whether observed differences remain stable across repeated runs.
| Project / system | Focus |
|---|---|
| TailCache | Java 21 · JMH · tail latency · JVM memory behaviour · reproducible benchmarking |
| Trading platform · ION | High-throughput EOD processing · multithreading · event-driven workflows · failure recovery |
| Off-heap persistent caching · ION | Removing inter-process calls · large performance improvements · memory architecture |
| Production analysis tooling | Large-scale log parsing · incident diagnosis · production observability |
| Hybrid Social Group Optimization | Optimization · ML · medical-image classification · peer-reviewed research |
| Portfolio — Live · Source | Interactive engineering portfolio · Next.js · React |
COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier
Cognitive Computation · Springer
Peer-reviewed work applying a hybrid meta-heuristic optimization technique to medical-image classification.
I’m especially interested in systems questions where average-case performance hides the real operational story.