Production ML Software Engineer

Evan Ballesteros

Backend software engineer with experience building production ML systems, backend services, and real-time and batch inference workflows.

Recent Role
Meta Software Engineer · E4
Core Systems
Real-time and batch ML inference
Engineering Focus
Backend systems and ML infrastructure
Contact evan.ballesteros@gmail.com

Backend · ML Systems · Infrastructure

Professional Focus

Backend engineering for production ML systems.

Software engineer with 3.5 years at Meta building backend services and production ML systems. My work has focused on real-time and batch inference, model-serving infrastructure, workflow automation, and integrating ML outputs into operational backend systems.

Technical Skills

Languages: Python, C++, JavaScript, C#, SQL

ML Systems: Model serving, real-time inference, batch inference, multimodal ML, embeddings, model integration, ML pipelines

Backend / Production: Backend services, REST APIs, Node.js, Express, Linux, CI/CD workflows, rollout planning, quota and rate-limit management

Reliability / Observability: Metrics, dashboards, alerts, monitoring, on-call support, incident response, latency tracking, reliability tracking

Data / Databases: pandas, Matplotlib, data parsing, data visualization, MongoDB, MongoDB Atlas, SQL

Education

San Diego State University

Bachelor's Degree, Computer Science

May 2022

Undergraduate Research Fellowship

National Science Foundation-supported AV1 video encoder research, including Python scripts for parsing encoder data and visualizing trends with pandas and Matplotlib.