Production Hardened AI EngineeringAzure OpenAI & Multi-Modal VisionPII Sanitization & Data MaskingAzure Content Safety & Pre-ModerationServer-Sent Events (SSE) StreamingPrompt Injection Defense (XML Tags)Local RAG & Vector EmbeddingsFastAPI, Pydantic V2 & Next.js App RouterDefensive Security, Rate Limiting & CIProduction Hardened AI Engineering

Transitioning from Senior Engineer to AI Engineer

An incremental hands-on roadmap building, securing, and scaling production-grade AI applications on Azure OpenAI, FastAPI, and Next.js.

Azure AI Ecosystem

Leveraging Azure OpenAI, Azure AI Language, Azure Content Safety, and Azure AI Agents SDKs.

Security Hardened

Rate limiting, kill switches, PII data masking, EXIF metadata stripping, and prompt injection bounds.

Cost & Abuse Guardrails

Strict token output limits, concurrency semaphores, and distributed per-client IP quotas.

Featured Applications

Production-ready AI applications built incrementally

View All (6)
App 01live

Smart Inspector

Multi-modal vision inspection service providing automatic image tagging, captions, object detection, and OCR transcription.

Next.js 14FastAPIAzure OpenAIPillow
App 02live

Support Bot

Healthcare billing support assistant featuring Azure AI Language NLP analysis, PII data masking, and grounded FAQ retrieval.

Next.js 16FastAPIAzure AI LanguageAzure AI Agents
App 03live

Prompt Forge

Structured content generation workbench with Azure Content Safety filtering, persona tuning, and SSE real-time streaming.

Next.js 16FastAPIAzure OpenAIAzure Content Safety
App 04ready

pocketRag

Private multilingual RAG knowledge base with SQLite vector storage, bundled example documents, and inspectable citations.

Next.js 15FastAPISQLite VectorAzure OpenAI
App 05ready

Agentic Workflow

Autonomous ReAct agent with multi-tool calling, offline execution, and human approval before sensitive actions.

Next.js 15FastAPIAzure OpenAIReAct Loop
App 06development

Agent Workspace

Streaming AI agent workspace with Foundry Agent Service, typed MCP tools, approval gates, and durable conversations.

Next.js 15Azure AI FoundryMCPCosmos DB

AI Reliability & Safety Scorecard

Reproducible engineering evidence measured by deterministic evaluation suites. Every score is linked to a versioned dataset, test, and commit hash.

Evaluated: 2026-09-17
Score: 100%
Engineering Evidence: These results are measured by the continuous integration test runner (evals/run_evals.py) running synthetic benchmarks without paid API calls or user data.
safety100% (5/5)

Prompt Injection Resistance

Zero bypasses across roleplay, delimiter hijacking, and recursive system prompt extractions.

safety100% (4/4)

PII Masking & Redaction

Full redaction of credit cards, tax IDs, internal emails, and API secrets.

reliability100% (3/3)

RAG Answerability & Abstention

Direct answers verified against citation chunks; explicit abstention on out-of-context queries.

governance100% (4/4)

Tool Authorization & HITL

Destructive actions strictly blocked without cryptographic user confirmation tokens.

reliability100% (3/3)

Structured Output Schema Fidelity

Pydantic-enforced response structures with zero missing fields or type corruption.

performancep50: 182ms | ~$0.0003/req

Observed Latency & Cost Profile

Real-time rolling metrics tracked via OpenTelemetry GenAI spans with zero PII retention.