Vetted Unit Testing Professionals

“Unity developer with hands-on experience evolving enemy AI from event-driven logic to FSMs and ultimately behavior trees, improving both performance and debuggability while making enemy reactions feel faster and more consistent to players. Has built multiple multiplayer games using Photon PUN 2 and Unity NetCode, focusing on server-authoritative synchronization and minimizing network traffic; also applies AI tools to accelerate prototyping and diagnose complex issues like OPC UA tag mismatches.”

“Backend ERP developer specializing in Odoo (Python MVC) with hands-on experience integrating ERP workflows with external SQL databases and handling cloud deployment compatibility issues. Led a migration of ~40 years of legacy data into a modern ERP using scripted transforms and unique identifiers to preserve data integrity, and has experience implementing role-based permissions and preventing failure modes in SQL status update flows.”

“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.”

“New-grad software engineer who built a real-world smart-city traffic camera/operations dashboard pitched to Peachtree Corners, GA, integrating Bosch cameras with an MQTT/Node-RED/InfluxDB pipeline and Grafana visualizations. Implemented rule-based alerts (including SMS dispatch for janitorial cleaning) and improved production reliability with queuing, redundancy, monitoring, and load testing, reaching ~99% message delivery. Actively seeking onsite, customer-facing roles with travel.”

“Early-career full-stack engineer who has not yet shipped a professional customer-facing product but has built sophisticated AI-driven systems in personal/academic work, including a multi-tenant AI knowledge base (async ingestion, pgvector semantic search, SSE real-time updates, knowledge graphs) and an AI-powered code review assistant designed to process thousands of jobs via Redis/BullMQ.”