I build and evaluate AI-powered softwarewith production judgment behind every result.

Perform paid AI-output evaluation and quality engineering for software-focused assignments, combining explicit rubrics, reproducible evidence, and accountable human review.

• Advanced from evaluator to reviewer while applying defined rubrics, auditing evidence, and delivering concise technical feedback.
• Evaluate coding and software-engineering responses, write scoring rationales, and compare candidate outputs without exposing client material.
• Inspect simulated SaaS products for reproducible defects and feature opportunities, then structure the findings as evidence-backed rubric packs.
• Review JSON-based artifacts and guarded agent workflows for trace fidelity, privacy, reconstructability, and final human approval.

Primary builder across a social CRM and marketing-automation platform, spanning customer-facing product work, integrations, analytics, data integrity, and cloud services.

• Owned major areas including inbox and CRM, automation flows, social analytics, onboarding, billing, and settings.
• Operated a Terraform-managed Python Lambda pipeline and a Dockerized Flask service on ECS Fargate.
• Shipped integrations across Meta, TikTok, Stripe, Rewardful, Calendly, REST APIs, and webhooks.
• Diagnosed cross-layer failures across PHP, MySQL, Redis, OpenSearch, JavaScript, and AWS.

Advanced from developer to manager while owning Envision EHR, a multi-tenant PHP and MySQL platform serving more than 50,000 end users.

• Built the platform’s first electronic-claim submission system, enabling direct payer reimbursement for customer practices.
• Led production features across billing, clinical workflows, forms, integrations, and infrastructure.
• Hired and mentored the first engineering intern from new graduate to full-time contributor.
• Established code-review and deployment standards on a previously single-developer codebase.