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Vetted Cursor (AI Code Editor) Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in APIs, data systems, and automation
Senior AI/ML Engineer specializing in LLMs, RAG, and high-performance systems
Senior Front-End Engineer specializing in React, TypeScript, and micro-frontends
Senior Full-Stack Software Engineer specializing in Healthcare IT and FinTech integrations
Junior Data Engineer specializing in cloud data platforms and MLOps
Senior Unity/XR Engineer specializing in OpenXR mixed reality and real-time rendering
Mid-Level Backend Java Engineer specializing in microservices and cloud-native systems
Junior Software Engineer specializing in AI/ML and full-stack web development
Mid-level Software Engineer specializing in product engineering and AI orchestration
Junior product and operations professional specializing in startup GTM and growth operations
Mid-level Full-Stack Developer specializing in cloud-native enterprise applications
Junior Full-Stack Software Engineer specializing in AI systems and cloud infrastructure
Mid-level Frontend Engineer specializing in React and web applications
Mid-level Full-Stack Engineer specializing in AI, FinTech, and healthcare systems
Mid-level DevOps & Platform Engineer specializing in Kubernetes and AWS infrastructure
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Venkatesh ThimmaDhinakaran
Director-level Software Engineering Manager specializing in full-stack SaaS and communications platforms
“Hands-on Engineering Manager at Hyper-Reach modernizing a mission-critical emergency alerts platform used by county emergency directors and first responders during live disasters. He led a phased migration from a 25-year-old JSP monolith to React, shipped in 5 months instead of an estimated 1.5 years, with zero regression incidents and clear customer and sales impact.”
Aniruddha Rajnekar
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems
“Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.”
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.”
Ali Taquie
Junior Software Engineer specializing in AI and FinTech payments
“Forward-deployed software engineer at PayStand who uses LLM prototyping tools (e.g., Cursor, Lovable) to rapidly build customer-specific demo environments and drive sales outcomes—citing ~$100K in technical buy-in before production development. Experienced supporting an enterprise expense management product (Teampay) with agentic AI workflows, emphasizing observability (Grafana/Loki/Tempo) and cross-functional communication with sales, product, developers, and customers.”
Matthew Woodings
Executive CTO and product engineering leader specializing in AI-first SaaS platforms
“Multi-time founding team member who helped raise capital at HotSchedules and Axial Shift, contributing investor-facing narratives around cost to serve, technology vision, scalability, and market opportunity. Motivated by building companies from the ground up, they bring a hands-on zero-to-one mindset paired with a strong understanding of what angels and VCs need to see in a scalable, standards-compliant product.”