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Vetted Prompt Engineering Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in full-stack and FinTech systems
Junior Full-Stack Software Engineer specializing in Python, React, and AWS
Junior SaaS Implementation & Support Specialist with Generative AI and API integration experience
Mid-level AI/ML Engineer specializing in LLMs and RAG systems
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Mid-level Full-Stack Developer specializing in AI-integrated web applications
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision
Mid-Level Full-Stack Engineer specializing in AI platforms and multi-tenant SaaS
Senior Full-Stack Developer specializing in SaaS, CRM, and AI product features
Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP
shuntoria reid
Senior AI Trainer and Data Annotator specializing in LLM and computer vision datasets
“Early-career software engineer with a blended background in technical support, QA, data work, and hands-on web development. Built QA-tracker-style applications and small AI-enabled prototypes using Python, Flask, SQL, JavaScript, and React, with a strong emphasis on testing, debugging, and turning messy requirements into practical user workflows.”
Ramis Hasanli
Intern Cybersecurity Engineer specializing in AI agents and production workflows
“Built and deployed an AI customer representative for iCore used at the IEE convention (2025), serving 100+ users in a day; implemented RAG with a vector database and scaled reliability via Docker and Google Cloud. Also has hands-on experience with multiple agent orchestration stacks (LangChain/LangGraph, Google AI Agent Development Kit, OpenAI SDK, Composio) and has delivered stakeholder-driven apps using prototyping and MVP scoping.”
AungKaung Khant
Junior Software Engineer specializing in full-stack web and IoT development
“Computer Science student and indie hacker who builds open-source products in public, including a Chrome extension called "Add to ChatGPT" that reached 30+ installs in its first week. Has hands-on experience with full-stack social platform development and AI-integrated side projects, with a strong pattern of self-teaching, rapid shipping, and iterative bug fixing.”
Teoman Kirma
Junior Full-Stack Software Engineer specializing in React and TypeScript
“Builder of an early-stage community marketplace, Cirkle, where they combined product and engineering ownership to ship core marketplace, membership, chat, and AI-assisted listing features. Particularly strong in pragmatic AI product development, using multiple LLMs, structured outputs, validation, and analytics to create production-ready user experiences.”
Safwan Paleri
Mid-level Unity Gameplay/AI Programmer specializing in AR/VR and multiplayer systems
“Unity AR/VR developer with experience delivering multiple projects using Vuforia, Unity AR Foundation, and Niantic Lightship, including VR terrain generation from GIS data learned and implemented on a tight timeline. Built a personal Unity "LLM testing tool" integrating ChatGPT, Gemini, Claude, Mistral, and DeepSeek into NPC characters with customizable multi-party conversation behavior for comparative evaluation.”
Mid-level AI Software Engineer specializing in LLM agents and RAG systems
Entry-Level Software Engineer specializing in backend services and applied ML
Mid-level Systems Architect specializing in institutional trading infrastructure
Richa Chanpuriya
Mid-level Backend/Agentic AI Engineer specializing in GenAI automation and RAG systems
“Built and shipped a production AI-driven privacy automation system that autonomously navigates data broker sites to submit opt-out/data deletion requests end-to-end, including robust CAPTCHA detection/solving (e.g., reCAPTCHA/hCaptcha/Cloudflare) via 2Captcha. Experienced in orchestrating stateful LLM agent workflows with LangGraph and hardening them for production with strict state management, retries/fallbacks, validation layers, and database-backed observability/audit logs, collaborating closely with legal/compliance stakeholders.”