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Vetted Model Evaluation Professionals
Pre-screened and vetted.
Nicolas Collins
Senior Full-Stack Engineer specializing in AI and cloud-native applications
“Built and shipped a production LLM-powered internal developer tool that accelerated code reviews by about 30% while maintaining reliability through modular orchestration, validation, and monitoring. Demonstrates strong practical depth in agent architecture, backend workflow orchestration, and observability for non-deterministic AI systems, with concrete examples of reducing agent errors by 60%.”
“Product leader with experience spanning enterprise SaaS and pharma, including building Alteryx's core cloud administrative services and launching an AI onboarding assistant that cut first-time value from 2 hours to 5 minutes. Stood up and mentored a PM team from scratch, drove complex pricing/packaging transformation, and combines strategic platform thinking with hands-on UX and customer research.”
Staff Machine Learning Engineer specializing in LLM agents and ML systems
Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines
Mid-level Machine Learning & Generative AI Engineer specializing in enterprise RAG and MLOps
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
Junior AI Engineer specializing in computer vision, LLM infrastructure, and generative media pipelines
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
Intern-level Software Engineer specializing in Machine Learning and Full-Stack Web Development
Junior Software Development Engineer specializing in ML, NLP, and data visualization
Senior Machine Learning Engineer specializing in Generative AI and NLP
Mid-level AI Engineer specializing in Generative AI and LLM/RAG systems
Senior AI/ML Engineer specializing in GenAI, MLOps, and healthcare analytics
Mid-level Data Engineer specializing in GCP, Spark, and healthcare analytics
Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI
Director-level AI/ML engineering leader specializing in platform and product development
Adithya Rajendra
Junior Data Engineer specializing in Azure data platforms and GenAI analytics
“Data/ML practitioner with experience spanning medical imaging (retinal vessel analysis for hypertension/CVD risk prediction) and enterprise data engineering at Carl Zeiss. Built large-scale SAP data cleaning/validation pipelines (10M+ daily records, ~99% accuracy) and RAG-based semantic search with LangChain/vector DBs that cut manual querying by 82%, plus automation that reduced data onboarding from 8 hours to 12 minutes.”
Jayadeep Nukala
Mid-level Full-Stack Engineer specializing in AI platforms and FinTech
“Built full-stack and AI-driven products spanning banking KYC modernization and enterprise software testing automation. Particularly strong in productionizing LLM workflows in regulated environments, using deterministic orchestration, RAG, and human-in-the-loop controls to improve test coverage to 80% and reduce QA reporting burden by over 50%.”
Johnnie Sanders
Executive AI Architect specializing in enterprise cloud and FinTech solutions
“Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.”
Tzu Tang Liu
Mid-level Machine Learning Engineer specializing in applied AI and RAG systems
“Built and owned a zero-to-one AI knowledge workspace that turns chats and documents into a reusable structured section map, spanning React/TypeScript frontend, FastAPI backend, LLM pipelines, and cloud deployment. Also shipped a crypto scoring multi-agent system that combines market, GitHub, and on-chain signals, showing strong end-to-end AI product and orchestration experience.”