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Vetted GitHub Copilot Professionals
Pre-screened and vetted.
Mid-level Full-Stack Java Developer specializing in cloud microservices
Mid-level Full-Stack Software Engineer specializing in Java, React, and cloud-native systems
Mid-Level Full-Stack Software Engineer specializing in Spring Boot and React
Mid-level Full-Stack Engineer specializing in distributed backend systems and DevOps
Mid-level Data Engineer specializing in real-time streaming pipelines and healthcare data
Senior Full-Stack Engineer specializing in .NET, React/Angular, and Azure
Mid-level Software Engineer in Test specializing in backend microservices and QA automation
Senior QA Automation Engineer specializing in EV charging and FinTech
Junior Software Engineer specializing in distributed systems and AI applications
Senior Full-Stack Engineer specializing in AI-powered healthcare and search platforms
Mid-level Full-Stack Software Engineer specializing in web platforms and distributed systems
Junior Full-Stack Software Engineer specializing in AWS serverless and Python
Mid-level Software Engineer specializing in AI and cloud data platforms
Senior Unity/XR Engineer specializing in VR multiplayer and developer tooling
Mid-level AI Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level Software Engineer specializing in full-stack, cloud, and AI systems
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Nicholas Pinero
Mid-level Software Engineer specializing in Unity XR/VR training simulations
“Unity/C# VR developer who owned a next-gen replay/review system end-to-end, improving determinism so recorded actions (e.g., shots) replayed consistently. Also built a Jenkins-triggered GameDriver-based VR QA automation suite that ran nightly builds and cut manual QA effort by ~75%, and contributed to Photon PUN multiuser mode with hands-on network debugging.”
Preethi Bandari
Mid-level Full-Stack Developer specializing in scalable web applications
“Developer who uses AI tools pragmatically to accelerate coding while keeping full ownership of system design and decision-making. Emphasizes rigorous review, testing, and alignment with architecture, security, and performance standards, and stays current on AI through both industry sources and hands-on experimentation.”
Khushi Saxena
Junior Full-Stack Engineer specializing in AI and distributed systems
“Early-career engineer who built and launched a zero-to-one AI-driven approval workflow at SDSU that is used daily by roughly 2,000 university users. They owned the system end-to-end—from FastAPI/PostgreSQL backend to React UI—and showed strong judgment around LLM reliability, using a two-step pipeline, validation checks, and human-review fallbacks to cut manual processing time by about 80%.”