Vetted pytest Professionals

Angel Diones

Screened

Entry-level Software Developer specializing in full-stack and cloud applications

Remote, USA1y exp

“Internship-heavy software engineer with hands-on experience building and debugging production-style systems in agriculture, hospitality, and logistics. Stands out for solving a deployment-breaking Next.js environment variable issue during an AWS Amplify to ECS migration, plus driving backend-centric architectural improvements for performance, security, and maintainability.”

“Early-career backend developer building an Arc Raiders game-data API end-to-end in Go on AWS with PostgreSQL, making their first real deployment and learning system design hands-on. Also built an AI resume and cover letter generator using Gemini and has experience debugging open-source code and managing PRs in a capstone team project.”

Evet Fernandes

Screened

Junior Full-Stack Software Engineer specializing in web development and data pipelines

Carson, CA2y exp

“Full-stack product builder who has repeatedly designed and shipped production web experiences solo, from a college event platform serving 500+ live registrations to research dashboards and AI-generated GitHub reporting tools. Stands out for combining product judgment, frontend design/build ownership, and calm production debugging under real user pressure.”

Muhammad Midhat

Screened

Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations

9y exp

“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”

“QA/automation tester with experience across Cypress/Playwright/Cucumber and API testing who helped a large team with limited QA bandwidth by automating a previously manual Excel verification workflow using pandas. Reported a critical data-leakage defect and found ~40 issues during an old-to-new UI migration, collaborating regularly with developers/designers to improve product quality.”