Tyler Durette
Engineer AI / DevOps / Software
I do cool things with AI and sports
... Love python, data analysis, machine learning, automation, finance & trading algorithms
... Don't love Windows
I'm a software engineer with 5+ years of professional experience. My passions include developing and experimenting with various AI automations, workflows, tools, processes, libraries, and architectures; as well as scripting out data collection pipelines to use in building analysis tools and dashboards across a variety of projects.
My current portfolio includes multiple web applications for NFL, MLB, MMA analytics and predictive models, AI agents and automation templates to help the public and for my projects, functioning and automated trading bots in production running from my RPi on the Solana and BASE blockchains, and numerous other data collection, processing, monitoring and alerting systems.
EXPERIENCE
Implementing DevOps practices and managing cloud infrastructure to support government and commercial clients. Working with containerization, CI/CD pipelines, and infrastructure as code to streamline application deployment and management.
Architected and implemented cloud-based solutions using modern DevOps practices. Automated infrastructure deployment and application delivery pipelines, resulting in improved reliability and faster release cycles.
PROJECTS
SwiftUI-based iOS application providing AI-driven MMA statistics and fight predictions, backed by a Flask/Python API.
UFC/MMA data analysis platform with AI report generation and fight prediction capabilities. Built for advanced sports handicappers to analyze fighter statistics, matchup histories, and generate predictive insights.
MLB data analysis and prediction app featuring interactive visualizations, machine learning insights, and comprehensive statistical breakdowns for baseball enthusiasts.
NFL data analysis website designed for advanced sports handicappers. Features interactive visualization tools, AI-driven insights, and comprehensive statistical analysis to help users make more informed decisions.
Automated AI agent designed for professional fight analysis. Currently deployed on Twitter, this bot analyzes upcoming fights, fighter statistics, and provides predictive insights for the fighting community.
Native macOS menu bar app for keeping short quotes visible while the app stays out of the way. Includes quote library management, import/export, style controls, scheduled rotation, and a manual next-quote action.
Public ClawHub profile with 4 published skills, 18 stars, and about 4.1k downloads across Export, Simplify Code, Clip, and Youtube Download.
Various templates for different use cases of the OpenAI API (mostly assistants) designed to help beginners get started. A collection of boilerplate code and examples to accelerate AI application development.
Python-based examples showcasing different LLM frameworks (Ollama, LangChain, Open Interpreter) with agent workflows and tool integrations.
Collection of Polymarket utility scripts and working bot examples for automation, trading research, whale monitoring, sports market analytics, and Pushover alerts.
Odds monitoring scripts for NFL, NCAAF, UFC, and more from various books designed to run in cron jobs throughout the day. These tools help track betting lines and identify value opportunities across different markets.
Read-only terminal dashboard for monitoring a bot fleet across Tailscale-connected servers. It checks server health, disk usage, cron freshness, recent job status, and key services through SSH.
Collection of Solana and Base chain scripts for building trading bots. These tools provide the building blocks for automated cryptocurrency trading systems with various strategies and risk management techniques.
Streamlit-based dashboard for oil & gas analytics, featuring interactive charts, machine learning forecasts, and geospatial data visualizations for industry insights.
