Independent AI + product engineering
AWS · TypeScript · ReactAI pipelines · automations · document workflowsRemote across the U.S.

Turn the idea into working software without the technical headaches.

I work with small and mid-size businesses that need senior, hands-on engineering for AI pipelines, modern web apps, AWS backends, and integrations that hold up in production.

Typical work: MVP builds, platform cleanups, AWS cost-and-security fixes, AI/document pipelines, internal automation, and ongoing feature delivery.

Serverless AWS
Lambda, API Gateway, Cognito, S3/CloudFront, Bedrock, AgentCore
Full-Stack
React, TypeScript, Node.js, Python
Integrations
Stripe, Webhooks, OAuth, APIs
Documents/AI
OCR pipelines, structured extraction, AI Optimized extraction
Where this helps most

Teams that need a senior builder to own the hard parts.

Good fit for founder-led products, internal tools, and SMB teams that have real delivery pressure but don't want a long consulting cycle. Direct delivery, short feedback loops, and a scoped plan that stays readable for non-technical teams.

  • Shipping a new product or major feature quickly
  • Fixing reliability, cost, or deployment problems
  • Connecting billing, documents, APIs, or internal tools
Capabilities

Focused services for product, platform, and operations work.

The goal is movement: ship the feature, stabilize the system, automate the bottleneck, or make the architecture easier to live with.

Cloud Serverless Builds

Design and implement scalable backends with clean infrastructure-as-code and secure authentication.

CDK / IaCLambdaAPI GatewayCognito

Full-Stack Web Apps

Modern React apps with fast UX, clear state management, and maintainable, well-structured code.

ReactTypeScriptViteDesign systems

Automation & Integrations

Connect the tools your business already uses and eliminate manual work with reliable workflows.

StripeWebhooksCRM/ERP APIsMonitoring

Document Processing

Turn PDFs and scans into structured data, searchable content, and clean, reliable reports.

ExtractionValidationReportingQA

RAG Pipelines

Ground LLM responses in your private data with fast retrieval and clear, checkable citations.

ChunkingEmbeddingsVector searchGuardrails

Security & Compliance Hardening

Fix authentication gaps, tighten IAM permissions, and improve auditability and reliability.

Least privilegeSecretsLoggingBackups

Rescue + Stabilize

Unblock a stuck team: fix production issues, performance, cost, and flaky pipelines fast.

Cost reductionPerformanceBugfixObservability
Selected work

Selected work across product, data, and infrastructure.

Most client work is private, so these examples focus on the systems, delivery scope, and outcomes rather than brand names.

Document pipeline for structured extraction

A workflow that ingests PDFs, extracts key fields and tables, and generates consistent outputs for downstream systems.

  • Reduced manual data entry and review time with automated extraction and validation
  • Designed for auditability: traceable inputs/outputs and clear error handling
  • Production-ready deployment with monitoring and retries
AWSTypeScriptServerlessDocument processing

Private-document RAG system

A retrieval system that ingests private documents, indexes them, and grounds answers with citations.

  • Chunking and embeddings pipeline with clean metadata for relevance
  • Fast vector search with re-ranking and source linking
  • Eval harness to track quality and reduce hallucinations
RAGEmbeddingsVector searchIngestion

SaaS billing and usage tracking

Subscription tiers and usage-based tracking integrated with Stripe and backend enforcement.

  • Webhook-driven subscription state, tier entitlements, and purchase flows
  • Clear internal dashboards and data model for audit and support
  • Designed for growth: add tiers, add-ons, and expand pricing without rewrites
StripeWebhooksNode.jsData modeling

Customer-facing SMB web app

A customer-facing React app with secure auth, APIs, and a clean CI/CD path.

  • Fast UX, predictable state management, maintainable component structure
  • Secure authentication and protected routes with role-based access
  • Deployed with HTTPS, caching, and performance tuning
ReactTypeScriptAuthCloud

Production rescue and stabilization

Diagnosed reliability issues, reduced cloud spend, and improved monitoring and alerting.

  • Added structured logging, tracing, and actionable alerts
  • Fixed failure modes and improved throughput with queues/events
  • Introduced playbooks and runbooks for repeatable incident response
ObservabilitySQSCostReliability
Process

Clear scope, visible progress, and practical handoff.

Structured enough for decision-makers, concrete enough for engineers who need the details.

01

Discovery

Quick call: goals, constraints, success metrics, and scope.

02

Plan

Architecture outline, milestones, timeline, and estimate.

03

Build

Ship incrementally with demos, QA, and clear handoffs.

04

Support

Docs, monitoring, training, and optional ongoing iteration.

Questions

What teams usually want to know before starting.

Useful first message: send the actual bottleneck.

The best inquiry mentions the constraint, deadline, and how success will be measured. That makes scoping faster and the first reply more useful.

A strong fit for small to mid-size teams that need an experienced builder to ship or stabilize a product without hiring full-time.

Bring the project, problem, or launch blocker.

The contact form has its own direct path, so you can link people straight to the inquiry page from posts, emails, or ads.