Vetted AWS Professionals

“Engineering student with hands-on robotics and simulation experience: led an Arduino line-following “Batmobile” robot project used as a K–12 teaching tool and won best design in a 100+ student section. Also implemented SARSA reinforcement learning for a 16-DOF robotic hand in MuJoCo, optimizing the state representation to train efficiently on a CPU, and brings strong cloud/container skills (Docker, Kubernetes, AWS certs).”

“Unity developer who has published multiple games (e.g., "Hole people", "beads out") and reports building nearly everything inside the games himself, including gameplay, remote config, and A/B testing. Also built "Age of battles PvP" with backend server, economy, multiplayer, analytics, and blockchain/Web3/NFT functionality, including custom verification logic to mitigate third-party transaction delays. Currently earning about $3,000/month due to covering both backend and Unity/multiplayer responsibilities.”

“Frontend engineer who led a habit-tracking app (MindScope) from concept to production and built/refactored complex React + TypeScript CRM dashboards for wealth management advisors. Notable for turning an AI-generated, hard-to-maintain codebase into a scalable, typed, linted, reusable architecture and shipping high-impact dashboard updates safely via feature flags and gradual rollouts.”

“Frontend engineer (~4 years) who led an admin dashboard for potato farmers end-to-end, integrating real-time and historical weather data to drive disease-severity predictions. Built scientifically validated calculation pipelines (FAO Penman-Monteith, late blight models), rigorous Cypress/unit testing, and print/PDF-ready reporting, while optimizing performance and API load with debouncing, caching, and feature-flagged rollouts.”

“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”