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Vetted GPT Professionals
Pre-screened and vetted.
Executive engineering leader specializing in AI-native products and enterprise architecture
Mid-level Full-Stack Software Engineer specializing in SaaS, AI/ML, and IoT
Mid-level AI/ML Engineer specializing in LLM, RAG, and semantic search systems
Mid-level AI/ML Engineer specializing in MLOps, LLMs, and computer vision
Mid-level Data Scientist specializing in NLP, computer vision, and MLOps
Senior AI/ML Engineer specializing in Generative AI, LLMs, and Computer Vision
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Senior Data Scientist and ML Engineer specializing in NLP, LLMs, and AI systems
Mid-Level Machine Learning Engineer specializing in LLMs and RAG systems
Junior Machine Learning Engineer specializing in deep learning and healthcare AI
Mid-level Sales Development Representative specializing in high-velocity outbound pipeline generation
Adithya Sharma
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”
Muhammad Mohsin Khan
Senior Unity XR Developer specializing in networked VR/MR collaboration
“Unity/VR developer who has shipped a Meta Quest enterprise multiplayer immersive meeting platform (Arthur Spaces) and also delivered a puzzle/quest-style Unity game release in just one month. Leverages AI-assisted Blender workflows to rapidly prototype 3D assets and accelerate MVP development, and is comfortable in both structured studio pipelines and startup-style cross-functional teams.”
Lakshmi Swathi Sreedhar
Mid-level AI Engineer specializing in Generative AI and LLM systems
“Built and deployed a production-grade, multi-agent Text-to-SQL assistant that lets non-technical stakeholders query large enterprise databases in natural language. Uses Pinecone-based schema retrieval + LLM reasoning (Gemini/Claude/GPT) with a dedicated validation agent (schema/syntax checks and safe dry runs) to reduce hallucinations and improve reliability, while optimizing latency and cost via async execution and embedding caching.”
Yatin Rajkumar Kalra
Senior Full-Stack Engineer specializing in cloud-native AI and Healthcare IT
“Built AIO, a 7-agent system that automatically fixes failed GitLab CI/CD pipelines in under 60 seconds using Redis queues, typed TypeScript contracts, and strong observability. Heavy AI user who still applies rigorous human review for logic, security, scalability, and code quality, and has made deliberate architectural choices rather than relying blindly on frameworks.”