Applied AI Engineering Portfolio
Building reliable, evidence-driven AI systems for real engineering workflows.
A collection of production-minded AI systems focused on reliability, evaluation, security, incident response, and DevOps decision support.
What I Build
Production systems that go beyond demos and prototypes
RAG systems with grounded answers and citations
Enterprise-grade retrieval-augmented generation with strict mode for safety
Automated LLM evaluation and regression testing
Catch regressions before they reach production with comprehensive test suites
Secure AI gateways with guardrails and cost controls
Rate limiting, PII redaction, prompt injection detection, and cost tracking
CI/CD pipelines for AI systems
Automated testing and deployment workflows for reliable AI delivery
Featured Projects
Each project demonstrates real production patterns
AI Knowledge Retrieval (RAG System)
Evidence-based answers with citations and strict refusal.
LLM Evaluation & Regression Testing
Automated quality gates for LLM outputs in CI/CD.
Secure AI Gateway
PII redaction, prompt injection defense, rate limiting, and cost tracking.
AI Incident Investigation
Timeline reconstruction and root-cause analysis with evidence and human feedback.
AI-Assisted DevOps Risk Analysis
Pre-deployment risk scoring, rollout recommendations, and change impact analysis.
System Architecture
How the components work together
Architecture Diagram
Web → Gateway → Backend Services. All traffic flows through the secure gateway for rate limiting, security checks, and observability.
Explore the Systems
Try the live demos to see how these production patterns work together.