Projects
AI Infrastructure, MLOps, and Platform Engineering projects demonstrating hands-on expertise
Live Projects
AI Research Project Generator
AI-powered research tool with local LLM integration (Ollama, OpenAI), academic search APIs (OpenAlex, Semantic Scholar), and FastAPI REST API for generating comprehensive research projects.
devinpatterson.dev
Personal portfolio website built with Next.js 16, deployed to GitHub Pages via CI/CD pipeline with automated testing, linting, and deployment.
In Progress
LLM Serving Benchmark Suite
Comprehensive benchmarking framework comparing vLLM, TGI, Ray Serve, and Triton Inference Server for production LLM deployment. Includes batch vs streaming inference comparison, failure isolation testing, latency budgets, and cost per query analysis.
Completed Projects
Kafka MCP Server
Custom MCP server enabling AI agents to interact with Kafka streaming infrastructure for real-time operational insights and automated troubleshooting.
AI-Powered Root Cause Analysis
LLM-based workflows for querying servers, analyzing logs, and capturing results to wikis for incident resolution with automated runbook generation.
Upcoming Projects
Production RAG System
Enterprise-grade Retrieval Augmented Generation system with vector databases, evaluation pipelines, chunking strategies, and production deployment pat...
MLflow Experiment Tracking Platform
Self-hosted MLflow deployment on Kubernetes with S3 artifact storage, PostgreSQL backend, and integration with model registry for ML lifecycle managem...
Kubeflow ML Pipeline
End-to-end ML pipeline on Kubeflow with automated training, hyperparameter tuning (Katib), model serving (KServe), and drift detection using Evidently...
AIOps Observability Platform
Intelligent observability stack with n8n workflow automation, Prometheus/Grafana metrics, Loki logs, and LLM-powered anomaly detection and automated i...
Feature Store with Feast
Production feature store using Feast for ML feature management, online/offline serving, and feature versioning with Redis and BigQuery backends.
K8s Operator for ML Workloads
Custom Kubernetes operator for managing ML workloads with automated deployment, scaling, GPU scheduling, and production-grade reliability features.
Internal Developer Platform (IDP)
Backstage-based developer portal with custom plugins for service catalog, CI/CD integration, infrastructure provisioning, and developer self-service. ...
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Check out my GitHub for more projects and contributions
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