Hello, I'm

Dante Barr

Software Engineer with experience across Amazon, EA, and independent ventures, specializing in backend systems, AI/ML integration, and DevOps. Proven track record building and shipping production-grade tools — from ML recommendation services at scale to RAG-based AI assistants and full-stack web applications. Hands-on with LLMs, vector databases, and observability pipelines.

Get in touch See my work

Software Engineer II Electronic Arts Apr 2024 – Present
Freelance Software Consultant Chrysilla Software June 2023 – Mar 2024
Software Engineer I Amazon Feb 2022 – May 2023
DevOps Cloud Engineer Co-op SAP May 2020 – Dec 2020

Software Engineer II

Electronic Arts Apr 2024 – Present · Vancouver, BC

Served on EA's SysTest automation team, delivering in-house tooling to enable game teams with system design, high-load scenarios, and load testing workflows
Architected a RAG-based AI assistant platform integrated across 10+ internal Slack workflows, cutting manual support queries by 60% and reducing average resolution time from hours to minutes
Engineered automated deployment, rollback, and health-monitoring systems for the automation tooling suite, reducing mean time to recovery (MTTR) by 99% and eliminating unplanned downtime over a 6-month period
Standardized GitLab CI/CD pipelines across 8+ repositories and introduced a centralized Grafana observability dashboard, reducing build debugging time by 50% and giving teams real-time pipeline visibility for the first time
Partnered with multiplayer game teams to build pre-launch load-testing infrastructure simulating peak player concurrency, helping ship monitored titles with zero P0 launch incidents

RAG GitLab CI/CD Grafana AWS Python

Freelance Software Consultant

Chrysilla Software June 2023 – March 2024 · Remote (Europe / Toronto)

Sole engineer on a full ground-up rearchitecture of gamelogin.com, a web platform for competitive gaming organizations managing teams, rosters, and match history
Rebuilt the system from scratch using React, TypeScript, AWS CDK, Lambda, DynamoDB, and S3, delivering a production-grade application used by active competitive gaming communities
Designed and implemented full-scale deployment pipelines across dev, gamma, and production environments, establishing CI/CD processes and promotion workflows from zero
Operated as end-to-end technical owner from architecture through launch, with full accountability for system design, infrastructure, and delivery

React TypeScript AWS CDK Lambda DynamoDB S3

Software Engineer I

Amazon Feb 2022 – May 2023 · Vancouver, BC

Led end-to-end development of Amazon Beauty's core recommendation service, acting as the primary engineering contact for product stakeholders and supporting millions of customer interactions
Collaborated on ML-based recommendation and virtual try-on services through rigorous A/B testing, improving engagement across Amazon's full beauty catalog
Designed and deployed the underlying AWS-native recommendation infrastructure using Lambda, DynamoDB, and S3, supporting millions of monthly requests at production scale
Maintained 24/7 on-call coverage for high-traffic recommendation systems, triaging and resolving critical incidents to uphold availability SLAs

Lambda DynamoDB S3 AWS ML

DevOps Cloud Engineer Co-op

SAP May 2020 – Dec 2020 · Vancouver, BC

Developed internal Git automation tools using Python and Jenkins to improve repository organization, branch management, and workflow efficiency
Built monitoring and alerting tools for Concourse CI pipelines using Grafana and Jenkins to improve build visibility, issue detection, and pipeline reliability
Supported production cloud infrastructure by troubleshooting outages, participating in bridge calls, and coordinating incident response across infrastructure and service teams

Python Jenkins Grafana Concourse CI

Atlas Academy

Co-founded a coding education company delivering multi-level software engineering programs for students aged 10–16 through Python and Raspberry Pi projects. Designed a six-level, two-year curriculum and recruited / mentored instructors as Technical Director. Grew the program to 25+ students across 5 concurrent classes, expanding into workshops and summer camps.

Python Raspberry Pi Education

Programming

Java Python C++ TypeScript SQL

Frameworks

React Node.js Flask PyTorch TensorFlow

AI & Data

LLMs RAG LoRA LangChain Hugging Face

Cloud & DevOps

AWS (CDK) Docker Kubernetes GitLab Jenkins Grafana Prometheus

Let's talk.

Open to interesting roles and collaborations. Best reached by email.

dantebarr@gmail.com