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