I bridge enterprise-grade cloud architecture with advanced AI implementations. Drawing from rigorous cloud engineering patterns, I focus on building zero-trust AI frameworks, cost-optimized data compliance systems, and secure multi-tenant pipelines.
- AI & Retrieval Architecture: Multi-tenant RAG pipelines, High-dimensional vector space indexing (HNSW, IVFFlat), and Context-aware data semantic searching.
- Cloud & Serverless Data Infrastructure: Secure asynchronous compute boundaries (AWS Lambda, EventBridge), isolated relational schemas, and programmatic security mitigations.
- Zero-Trust Security & Compliance: Database-level Row-Level Security (RLS) enforcement, automated PII/toxic data quarantine filters, and cost-conscious ingestion guardrails.
An enterprise-grade, zero-trust RAG backend featuring asynchronous serverless PII triage gates, strict multi-tenancy data isolation, and optimized high-dimensional vector similarity mapping.
- Zero-Trust Infrastructure: Implemented native PostgreSQL Row-Level Security (RLS) to guarantee absolute data isolation between unique tenants directly at the core database layer.
- Defensive PII Mitigation: Engineered an asynchronous processing gate using serverless micro-runtimes (AWS Lambda) to intercept text payloads and filter out structured PII (SSNs, credentials, API keys) before data reaches the vector pipeline or LLM context fields.
- High-Throughput Search Optimization: Configured HNSW (Hierarchical Navigable Small World) graph indexing via
pgvectorto achieve sub-millisecond query execution on high-dimensional vectors. - High-Margin Economics: Eliminated reliance on costly per-gigabyte external data scanners by building a localized regular expression and NER processing boundary, pinning infrastructure operational overhead down to zero-tier thresholds.
👉 Explore the Architecture & Codebase →
| Category | Technologies & Tools |
|---|---|
| Cloud Infrastructure | AWS (Lambda, EventBridge, S3, API Gateway, CloudWatch), Cloud9, IAM Lifecycle Policies |
| Databases & Vectors | PostgreSQL, Supabase, pgvector Extension, HNSW Indexing, Multi-Tenant Schema Design |
| AI & Automation | LLM Orchestration, OpenRouter API Integration, Semantic Text Chunking & Embeddings |
| Languages & Tooling | Python, Regular Expressions (Regex), Pydantic Data Validations, Git/GitHub Version Control |
- Graduate – AWS Cloud Institute Cloud Developer Graduate
- Certified – AWS Certified Cloud Practitioner
- LinkedIn: linkedin.com/in/rainawells]
- Portfolio/Email: [Your-Preferred-Contact-Here]