Vincent Fiore
I'm a Software Engineer specializing in scalable backend systems, cloud architecture, and AI-assisted workflows. I build robust solutions that solve complex problems.
Currently modernizing release tooling and AI-assisted engineering standards at Capital One. Previously scaling genetic testing platforms at GeneDx (formerly Sema4).
Experience
Senior Software Engineer
• Led the Go rearchitecture of legacy release pipeline flows, consolidating redundant API calls and cutting end-to-end response times by more than 50% across a system handling 700,000+ releases annually.
• Architected an organization-wide error code API in Java, delivering real-time updates for more than 5,000 errors across 30+ sources of truth and 15+ teams.
• Established reusable AI-assisted engineering standards through Claude Skills published to Capital One’s internal marketplace and adopted by dozens of engineers.
• Built Model Context Protocol (MCP) servers that integrated Artifactory with engineers’ Claude Code environments, giving agents direct access to artifact metadata and eliminating manual context gathering.
• Modernized critical background jobs on AWS Batch, cutting costs by 50%, raising uptime to 99.99%, and establishing the on-call runbooks the team continues to use.
• Provided technical direction to contract engineers, mentored early-career engineers through their first production deliveries and year-long rotations, and served as a technical interviewer for 10+ engineering roles.
Software Engineer II
• Built Kinesis ingestion pipelines processing genetic sequencing data with 100+ distinct markers per test, enabling real-time diagnostic availability for clinicians.
• Engineered Node.js Lambdas and Step Functions for async processing of lab data across the company's largest testing suites, provisioned with Terraform.
• Cut response times and memory usage by 90% with ElastiCache for Redis across multiple applications.
Senior Programmer
• Migrated a legacy COBOL database to a modern Java application, enabling efficient reporting and access to decades of data.
• Developed Python scripts to automate investigative search tasks, reducing processing time from hours to minutes.
Software Engineering Intern
Projects
Majestic 35
iOS app for sharing movie reviews with friends.
On the App Store
Cool Movies in NYC
Next.js site aggregating showtimes for NYC repertory theaters.
Live now
Skills
Languages & Frameworks
Java, Go, Python, JavaScript / TypeScript, Swift, SQL, Spring, Node.js, Next.js
AI & Agentic Tooling
Claude Code, MCP development, Claude Skills, Cursor, Windsurf, local LLM agent workflows
Cloud & Data
AWS Certified Solutions Architect - Associate, Kubernetes, Terraform, Redis, SQL / NoSQL