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Vetted C# Professionals
Pre-screened and vetted.
Mid-level Full-Stack Engineer specializing in Python, FastAPI, and cloud-native systems
Senior RPA & Automation Architect specializing in Agentic AI and enterprise hyperautomation
Mid-level Software Engineer specializing in automotive embedded systems and robotics AI
Senior AI/ML Engineer specializing in GenAI, MLOps, and healthcare analytics
Senior Full-Stack .NET Engineer specializing in FinTech payments and event-driven microservices
Senior Technical Recruiter specializing in cleared and high-growth engineering hiring
Mid-level Product Designer & Engineer specializing in AI-native geospatial and data products
Principal Software Engineer specializing in distributed systems and cloud-native backend platforms
Senior QA Engineer specializing in automation, data quality, and cross-platform testing
Junior Full-Stack/Cloud Engineer specializing in AI and data-driven applications
Senior Software Engineer specializing in Healthcare IT platforms
Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems
Mid-Level Full-Stack & Cloud Engineer specializing in scalable distributed systems
Senior Unity Developer and Graphics Programmer specializing in real-time 3D and AR/VR
Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI
Entry-level Software Engineer specializing in systems and healthcare data
Mid-level Software Engineer specializing in Unity game development and graphics engineering
Senior Full-Stack Engineer specializing in backend, cloud, and AI systems
Vaughn Eugenio
Mid-Level Software Engineer specializing in distributed microservices and real-time systems
“Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).”