```json
{
  "title": "Jane Smith | Portfolio",
  "author": "",
  "site": "",
  "published": ""
}
```

## Jane Smith

Researcher and developer focused on distributed systems and machine learning infrastructure. Building tools that help teams ship faster.

## Experience

### Senior Engineer

Acme Corp

2022 - Present

Led migration of monolithic architecture to microservices, reducing deployment times by 60%. Designed and implemented distributed caching layer serving 10M requests per day.

### Software Engineer

StartupCo

2019 - 2022

Built real-time data pipeline processing 500K events per second. Implemented ML model serving infrastructure with sub-10ms latency requirements.

### Junior Developer

WebDev Agency

2017 - 2019

Developed full-stack web applications for enterprise clients. Introduced automated testing practices that improved code coverage from 30% to 85%.

## Publications

### Optimizing Cache Invalidation in Distributed Systems

Smith, J.; Chen, L.; Patel, R.

Published in ACM Computing Surveys, March 2024

Novel approach to cache coherence using probabilistic data structures, achieving 95% hit rates with 40% less memory overhead.

### Low-Latency ML Inference at Scale

Smith, J.; Rodriguez, M.

Conference Paper, MLSys 2023

Framework for deploying transformer models with predictable tail latencies under varying load conditions.

## Education

### MS Computer Science

State University, 2017

Thesis on distributed consensus algorithms for heterogeneous networks.

### BS Computer Science

Tech College, 2015

Graduated with honors. Focus on algorithms and data structures.

## Skills

Python, Go, Rust, Kubernetes, Distributed Systems, Machine Learning, PostgreSQL, Redis, Kafka