How to Use
AI assistants can connect to this server to learn more about me and my work.
-
SSE (Most Common, Deprecated)
https://ai.jakegaylor.com/sse
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Streamable HTTP Endpoint (Modern)
https://ai.jakegaylor.com/mcp
To connect to this server with tools that do not support remote MCP servers, you can use the following commands:
Looking for the quickest way to learn about me? The section below contains my complete resume information that you can copy with one click and paste directly to any AI assistant. No tools or special connections needed - this is the simplest way for an AI to get comprehensive information about my background.
Quick Resume Information (copy-paste to your LLM)
Copy the text below and paste it directly to your AI assistant to give it information about my background:
# Jake Gaylor ## Professional Summary Jake Gaylor is an experienced software engineer with nearly 15 years of experience working across the web stack. He specializes in cloud infrastructure, DevOps, and platform engineering with particular expertise in Kubernetes, GitOps, and immutable infrastructure. Jake has strong experience with AWS, containerization technologies, and building CI/CD pipelines. ## Current Position - Staff SWE, Office of the CEO at Cloaked Inc (August 2023-Present) - Creating programs to ingest ideas from across the company - Working with executives, product management, and marketing to develop marketable ideas - Documenting ideation processes ## Previous Experience - Staff Platform Engineer at Cloaked Inc (September 2022-August 2023) - Migrated software stacks from PaaS providers to AWS EKS - Implemented Cloudflare for third-party masking and control - Established deployment patterns for Kubernetes and edge networks - Migrated AWS account structure to meet compliance requirements (SOC2, ISO 27001/27701) - Owner/Co-GM at The Onward Store Steakhouse (October 2021-January 2024) - Managed physical infrastructure, HR, legal, vendor relationships - Developed processes for serving fresh food - Staff SWE in Developer Experience at Inception Health (June 2020-June 2022) - Built AWS infrastructure with CDK packages for HIPAA compliance - Trained teams on serverless environments and gRPC contracts - Senior Platform Engineer at CyberGRX (December 2018-June 2020) - Led cloud-native CI/CD pipelines for AWS and Kubernetes - Developed custom CoreOS operator for blue/green deployments - Mentored engineers on software deployment best practices - Senior Cloud Platform Engineer at CardFree (January 2018-December 2018) - Managed PCI-compliant C# installation in AWS - Established software building practices and incident response - Senior DevOps Engineer at ProtectWise, Inc (August 2016-January 2018) - SRE for large-scale data ingestion platform with thousands of Cassandra nodes - Managed $10M+/year AWS production environment using Infrastructure as Code - DevOps Engineer at Food Service Warehouse (June 2015-March 2016) - Built Kubernetes clusters on vSphere using CoreOS, fleet, etcd, flannel - Software Developer at Mississippi State University (June 2010-June 2014) - Created grant proposals for custom software - Supported research initiatives including tracking "human sensors" during natural disasters ## Technical Skills - Programming Languages: JavaScript, Python, Bash, Go, Ruby - Databases: Neo4j, PostgreSQL, Timestream, MongoDB, Redis, Etcd, Zookeeper, Cassandra, DynamoDB - Distributed Systems: Argo Workflows, Kafka, RabbitMQ, AWS IoT - Automation: Argo CD, Packer, Terraform, Vagrant, Linux, Chef, GitLab CI, Jenkins, GitHub Actions - Orchestration: Kubernetes, Fleet, Docker - Monitoring: Prometheus, CloudWatch, Sensu, PagerDuty, Logstash, Kibana, Grafana, Graphite ## Professional Philosophy Jake focuses on: - Shipping fast and learning fast - Delivering MVP in days rather than months - Data-driven iterations and continuous user feedback - Supercharging teams with best-in-class development workflows - Automated testing and deployment - Finding product-market fit through data-driven feature development ## Entrepreneurial Background Jake describes himself as a "serial entrepreneur" having worked with: - SaaS products - PaaS solutions - Physical products - Restaurant management ## Contact Information - Phone: 720.453.3994 - Email: jhgaylor@gmail.com - Website: http://jakegaylor.com - GitHub: https://github.com/jhgaylor - LinkedIn: https://linkedin.com/in/jhgaylor - Work Preference: Remote First, Will Travel
You can also access this information at llms.txt or via https://ai.jakegaylor.com/llms.txt
For Talent Evaluators
I've built this MCP server to help a wide range of people evaluate whether I might be a good fit for their needs:
- Recruiters: Ask about my experience, skills, and background directly.
- Hiring managers: Drill into my proficiency in specific technologies. Example: "What's Jake's proficiency level with React, TypeScript, and AWS?"
- Interview coordinators: Generate tailored phone screens and take-home questions. Example: "Create a phone screen for Jake around API design and testing."
- Career coaches: Pull my resume, GitHub stats, and website content for assessments. Example: "Generate a summary of Jake's career highlights."
- Anyone evaluating my fit: Use the prompt: "Is Jake a good fit for my role? [paste job description]"
- Product managers & designers: Understand how I collaborate on product vision and feature prioritization. Example: "How would Jake contribute to our feature roadmap development?"
- Startup founders & small teams: Assess my fit as a generalist in lean environments. Example: "Would Jake be a good fit for a full-stack generalist role at an early-stage startup?"
💡 Pro Tip: Connect your AI assistant to this MCP server using the instructions above, then have it analyze my experience against your specific requirements to streamline your evaluation process.
Get a Complete Candidate Assessment
Once connected, your AI assistant can provide a thorough evaluation of my candidacy:
Skills Assessment
Ask about specific technologies or skills mentioned in your job description and get an analysis of my experience level with each.
Example: "What is Jake's proficiency level with React, TypeScript, and AWS?"
Business Impact
Understand how my background could translate to impact in your organization based on my previous roles and accomplishments.
Example: "How could Jake contribute to our e-commerce platform optimization efforts?"
Strengths & Growth Areas
Get insights into which aspects of your role I would likely excel at, and where I might need support or development.
Example: "Based on our senior developer role, what are Jake's strengths and potential growth areas?"
Phone Screen Generator
Generate customized interview questions that focus on the specific unknowns or areas you want to explore further.
Example: "Create a phone screen for Jake focused on system design and leadership skills."
Take Action
If you're using the hosted version at ai.jakegaylor.com/mcp
, you can have your AI assistant contact me directly:
The assistant can compose an email based on your role and my qualifications, which you can review and send. This helps create a personalized outreach that highlights the specific reasons why your opportunity might align with my background.
Example: Ask your assistant: "Please draft an email to Jake about our [position name] role and why he might be a good fit."
Technical Deep Dive
Walk through core technologies in your stack, explore my project work via the GitHub MCP server, and discuss design trade-offs:
Example: "Give me a code walk-through of Jake's use of AWS Lambda in his last project and ask him to explain the trade-offs."
Onboarding & Ramp Roadmap
Generate a 30-60-90-day plan based on my background and your team's goals:
Example: "Create a 90-day onboarding roadmap for Jake joining as a senior platform engineer."
Growth & Development Plan
Identify skill gaps and suggest learning paths or stretch projects:
Example: "What areas should Jake focus on to become our next team lead, and what projects could we assign him?"
Reference Simulation
Auto-generate reference-check questions or simulate testimonial responses:
Example: "Create three reference-check questions about Jake's leadership and history of delivering results."
What is MCP
Model Context Protocol (MCP) is a standardized way for AI models to communicate with external services to request information or execute actions, enabling them to stay up-to-date and perform tasks beyond their training data.
This MCP server provides two key capabilities:
- Resources: Static information about me, including my resume, LinkedIn profile, GitHub profile, and personal website content.
- Tools: Functions that AI models can call to retrieve specific information about my background, skills, and experience.
By connecting to this MCP server, AI assistants can access up-to-date information about me.
💡 Note: This server follows the Model Context Protocol specification, making it compatible with various AI assistants and tools that support MCP.
- Resources: Static data my application exposes and that you or your assistant can fetch directly (e.g., resume text, website content).
- Tools: Callable actions that AI models can invoke to retrieve information or perform tasks (e.g.,
get_resume_text
,get_github_url
).
Features
This MCP server provides the following features: