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Vetted Prompt Engineering Professionals
Pre-screened and vetted.
Sweta Devnani
UX/UI Designer specializing in inclusive, research-driven digital products
“UX Designer who has shipped end-to-end mobile and web experiences, including a student library companion app integrated with Canvas to reduce navigation friction and overwhelm. Also built information architecture and navigation for a bead e-commerce site (Beadalon) using Miro/WordPress/WooCommerce and validated improvements via analytics. Has experience designing a mental-health journaling companion with guided prompts and sketching based on student interviews and prototype testing.”
Pavithran Gnanasekaran
Junior AI/ML Engineer specializing in RAG, LLM apps, and cloud-native data platforms
“Internship-built full-stack systems spanning HR employee-record portals and internal data-quality dashboards (Flask + SQL + React), emphasizing data integrity and rapid MVP iteration. Also implemented Flask microservices with RabbitMQ for distributed task processing, addressing duplication/ordering issues with idempotency, durable queues, and correlation-ID logging; delivered quantified productivity gains for HR teams.”
Maheswari Thokala
Mid-level Full-Stack Engineer specializing in cloud microservices and REST APIs
“Backend engineer building an AI-powered social media platform on AWS, with hands-on experience shipping LLM-backed application features and improving production performance under high traffic. Strong focus on reliability/observability (CloudWatch, structured logs, health checks) and database optimization (MongoDB explain/slow logs, indexing, caching, connection pooling).”
William Shaw
Mid-level Performance Media Buyer specializing in Meta Ads and Google Ads
“Performance marketer who scaled a digital education product using Meta and Google Ads, growing from ~$40K to $200K monthly revenue while increasing spend, then reaching $800K revenue in a single month on $70K ad spend (ROAS 10). Strong in direct-response funnel optimization (creative, landing page, checkout, offer/AOV) with disciplined testing methods (sample size validation, URL split testing) and clear client communication.”
Entry-Level Full-Stack Software Engineer specializing in web apps and LLM-powered tools
Mid-level Full-Stack Engineer specializing in AI workflow automation
Mid-level Full-Stack Developer specializing in scalable web apps and cloud deployment
Mid-level Machine Learning Engineer specializing in NLP and LLM evaluation
Mid-level ML & Full-Stack Engineer specializing in LLM systems and RAG
Intern Software QA Engineer specializing in mobile and web application testing
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI
Mid-level AI/ML Engineer specializing in LLM-powered RAG systems and MLOps
Mid-level Full-Stack Developer specializing in TypeScript/Node.js and AI-powered web apps
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines
Intern Full-Stack Software Engineer specializing in AI, cloud, and web/mobile apps
Mid-Level Full-Stack Developer specializing in analytics dashboards and cloud infrastructure
Mid-Level Full-Stack Software Engineer specializing in healthcare web apps and LLM integrations
Mid-level Product Manager & Scrum Master specializing in SaaS product delivery
Junior AI/ML Engineer specializing in LLMs, RAG, and applied NLP
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Junior AI/LLM Engineer specializing in voice agents, RAG, and robotics systems
Principal Full-Stack AI Engineer specializing in LLM-powered web and mobile products