Vetted GitHub Professionals

“Full-stack engineer working on a medical practice SaaS, who owned an end-to-end charge entry module handling patient charges/payment workflows and complex client-side data transformations. Also built a fintech rating platform with real-time WebSocket streaming and TradingView-based charting, and has 10 years of university experience mentoring student "startup" capstone projects under tight deadlines.”

“Embedded/IoT-focused builder who has shipped solo projects on ESP32 + FreeRTOS, including a security camera system with a machine-vision pipeline, light-sensor-driven IR control, and Telegram-based animated GIF alerts. Demonstrated real-time debugging skills by resolving race conditions and timing issues via buffer redesign and mutex-based synchronization; no ROS/ROS2 experience yet but open to learning.”

“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.”

“Unity/C# developer with experience shipping to Meta Quest and building small Unity test games (e.g., Catch The Fruits and a Finger Game) to validate VR glove interactions. Leans toward structured production workflows and uses Unity documentation plus AI tools to resolve scripting/engine issues.”

“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 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.”

“Internal game QA tester at Torn Banner Studios (Chivalry 2), focused on stress testing developer builds and uncovering issues like bad spawns/out-of-bounds and unintended audio triggers. Reports bugs primarily through Jira (and sometimes Google Sheets), often attaching edited video evidence and coordinating with developers via Discord; expects compensation comparable to $30/hour.”

“Game/system designer with hands-on Unreal Engine 5 Blueprint prototyping who has owned end-to-end survival and endless-runner mode systems. Strong in progression/economy and hero/stat system design, iterating quickly from playtests (including performance fixes via platform reuse/object pooling) and producing clear, implementation-ready GDDs with formulas and tuning tables.”

“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.”

“Built a Smart Resume Screening tool with a React frontend and a Python backend, owning most backend architecture and delivery. Implemented FastAPI endpoints for file upload and NLP/ML inference, created the end-to-end resume classification pipeline, logged predictions to a database for accuracy tracking, and deployed a Dockerized service optimized for low-latency, concurrent processing.”