.png){kind=logo}
Vetted Debugging Professionals
Pre-screened and vetted.
Director-level Unity Technical Leader specializing in scalable multiplayer and VR systems
Senior AI Engineer specializing in healthcare AI and full-stack intelligent systems
Mid-level Software Engineer specializing in backend microservices and cloud applications
Mid-level Software Engineer specializing in full-stack AI and cloud-native systems
Senior Java Full-Stack Engineer specializing in AI-integrated cloud microservices
Mid-level Software Engineer specializing in distributed backend systems for FinTech
Intern Full-Stack Software Engineer specializing in web apps, cloud, and game development
Junior Software Engineer specializing in backend and platform systems
Mid-level Full-Stack Engineer specializing in cloud-native enterprise and FinTech systems
Mid Frontend Developer specializing in responsive web applications
Senior Full-Stack Software Engineer specializing in .NET enterprise web systems
Senior Software Engineer specializing in cloud-native backend and data platforms
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Senior Software Engineer specializing in backend, full-stack, and AI systems
Senior Full-Stack Engineer specializing in scalable web apps and API architecture
Mid-level Full-Stack Developer specializing in cloud-native microservices
Ian Hackman
Mid-Level Unreal Engine Engineer specializing in gameplay systems and UI tools
“Unreal Engine 5 gameplay/systems developer who led major core features for the Early Access Steam city builder Geopogo Cities: Windsor Detroit, including an end-to-end building placement system tightly integrated with economy, AI pedestrians (Mass AI/Zone Graph/State Trees), and procedural city block generation. Also built a third-person exploration layer with character customization, stamina, and animation retargeting on top of the City Sample Crowd framework, plus shipped player-driven UX improvements based on live Early Access feedback.”
Mohana Satyanarayana Moganti
Mid-Level Software Engineer specializing in Cloud Infrastructure and Full-Stack Platforms
“Built and shipped a production LLM-powered grading platform that automates rubric-aligned scoring and feedback, with strong guardrails (RAG grounding, structured JSON, validation/retries) and operational rigor (metrics, drift monitoring). Experienced using CrewAI to orchestrate multi-agent workflows end-to-end and validating quality via gold-set benchmarking against human graders with regression testing on every prompt/model change.”
Joseph Farghal
Intern Full-Stack Software Engineer specializing in automation and data-driven systems
“Early-career engineer with Charles Schwab internship experience building and testing production-bound internal APIs, emphasizing architectural fit, stakeholder alignment, and systematic debugging. Also has academic Python/ML experience analyzing Oura Ring biometric data and exposure to multi-agent robotics through coursework and RoboSub.”