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Vetted Cursor (AI Code Editor) Professionals
Pre-screened and vetted.
Senior Data Scientist and AI Engineer specializing in Databricks ML platforms and agentic AI
Intern Data Scientist specializing in customer analytics and ML-driven dashboards
Junior Software Engineer specializing in full-stack web and AI automation
Junior Product/UX Designer specializing in design systems, internal tools, and data visualization
Mid-level Software Engineer specializing in backend systems and LLM/RAG applications
Mid-Level Full-Stack Engineer specializing in web platforms and FinTech support experiences
Senior Full-Stack Developer specializing in Java/Spring Boot, Python, AWS & microservices
Junior Machine Learning Engineer specializing in LLMOps and computer vision for healthcare
Junior Software Engineer specializing in cloud data engineering and ML systems
Mid-level Full-Stack Software Engineer specializing in LLM/RAG systems in FinTech
Mid-level Product Designer specializing in AI-augmented FinTech and Healthcare UX
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 FinTech and payments
Senior Full-Stack Software Engineer specializing in Healthcare IT and FinTech integrations
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
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.”
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.”
Aaron Lao
Intern Software Engineer specializing in agentic RAG and full-stack web development
“Entry-level software engineer who built an agentic AI backend in Python/FastAPI, including APIs for conversation history retrieval and user data storage, and worked through async/concurrency challenges for multiple agents querying simultaneously. Also has practical AWS experience using S3 for static hosting with Lambda and RDS for backend/data access.”
Surya Pavan
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
“GenAI engineer who has deployed production LLM/RAG chatbots for internal document search, focusing on reliability (hallucination reduction via prompt guardrails + retrieval filtering) and performance (latency improvements via caching). Experienced with LangChain/LangGraph orchestration for multi-step agent workflows and iterates using monitoring/logs and benchmark-driven evaluation while partnering closely with product and business teams.”