Here’s where I’ve worked and what I’ve worked on, from distributed systems to machine learning and security. The project notes go into the technical details.
Professional History
Senior Systems Engineer
•Quant Network Infrastructure
Architected and deployed a low-latency messaging fabric using Rust and Apache Kafka, reducing p99 message propagation delay by 40%.
Spearheaded the migration of legacy monoliths to Kubernetes-orchestrated microservices, establishing strict CI/CD pipelines via GitHub Actions.
Implemented zero-trust security policies across the internal network cluster.
Machine Learning Researcher
•Cybernetics Lab, MIT
Developed novel anomaly detection models for network intrusion using PyTorch and graph neural networks (GNNs).
Co-authored 3 peer-reviewed papers on adversarial robustness in deployed ML models.
Optimized model training pipelines on distributed GPU clusters, improving throughput by 2.5x.
Selected Projects
All WorkMachine LearningSecurityCore Dev
NetGuard: GNN Intrusion Detection
A research implementation of Graph Neural Networks for detecting anomalous traffic patterns in complex network topologies.
PyTorchPythonCUDA
Raft Consensus Implementation
A strict, dependency-free implementation of the Raft consensus algorithm written in Rust.
RustDistributed SystemsTokio
K8s Auth Proxy
A lightweight authentication proxy for Kubernetes ingress with OIDC integration.
GoKubernetesOAuth2
EventStream Telemetry
High-throughput telemetry ingestion pipeline capable of processing 50k events/sec.