I build practical AI-powered tools, automation workflows, and data-driven systems that solve real operational problems.

My background is rooted in IT infrastructure: Windows Server, Active Directory, virtualization, backup systems, monitoring, security tools, and production troubleshooting. I now combine that foundation with AI agents, Python automation, workflow orchestration, data pipelines, web tooling, and decision-support systems.

I like building systems that reduce manual work, connect scattered information, and turn messy data into useful decisions.

• AI agents for developer workflows, code review, documentation, and task generation
• GitHub, Jira, Confluence, and Google Workspace automation
• Infrastructure and operations automation for IT environments
• Python data pipelines and backend tooling
• Sports analytics systems for DFS, betting models, projections, and tracking
• iRacing / NASCAR telemetry analysis and setup engineering tools
• PHP, MySQL, and Python web tools for internal dashboards and data systems

• LLM workflows
• Prompt engineering
• AI agents
• RAG concepts
• Developer productivity automation
• Code review automation
• Meeting, chat, and documentation intelligence

• Windows Server
• Active Directory
• DNS / DHCP / GPO
• vSphere
• Rubrik
• SentinelOne
• PRTG
• WAMP / MySQL
• PowerShell
• Backup, monitoring, and operational troubleshooting

• Python
• PHP
• MySQL / SQL
• JavaScript
• FastAPI
• GitHub Actions
• REST APIs
• Automation scripts
• Data cleaning and import pipelines

• CSV processing
• SQL modeling
• Sports projections
• DFS optimization
• Telemetry analysis
• NASCAR / iRacing setup engineering
• Performance dashboards

Designing workflows where AI can analyze pull requests, conversations, meetings, tickets, and documentation to propose Jira tasks, update Confluence pages, and improve developer velocity.

Building telemetry and setup-analysis tools for lap falloff, tire data, splitter height, platform stability, balance behavior, chassis adjustments, and race strategy.

Creating tools for DFS, betting models, projections, result tracking, bankroll analysis, and performance review across NASCAR, NHL, NBA, NFL, and other sports.

Developing database-driven systems for player evaluation, team needs, trade analysis, salary projection, scouting, and roster construction.

Creating practical websites, lead systems, AI workflows, and automation solutions for local businesses.

Languages:      Python, PHP, SQL, JavaScript, PowerShell
Databases:      MySQL, SQLite
Backend:        FastAPI, PHP/WAMP
Automation:     n8n, scripts, APIs, GitHub workflows
Infrastructure: Windows Server, AD, vSphere, Rubrik, PRTG
AI Tools:       OpenAI, Claude, Codex, Claude Code, RAG workflows
Data:           CSV pipelines, SQL models, analytics dashboards

• Tools that replace repetitive manual work
• AI assistants connected to real business data
• Dashboards that expose what actually matters
• Scripts that clean, import, validate, and analyze data
• Practical systems that can be used immediately
• Racing and sports analytics tools with real decision value

I prefer useful systems over demos.

The goal is always concrete impact:

• less manual work
• cleaner data
• faster operations
• stronger decisions
• better developer workflows
• measurable performance gains

GitHub: @elfrost