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Vetted Model Evaluation Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in cloud-native security & compliance platforms
Mid-level Data Scientist / AI Research Engineer specializing in LLMs, RAG, and applied ML
Junior Software Engineer specializing in full-stack development and applied AI
Mid-level Software Engineer specializing in AI agents and full-stack systems
Mid-level AI/ML Engineer specializing in LLM-powered RAG systems and MLOps
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines
Junior Software Engineer specializing in AI and full-stack development
Mid-Level Full-Stack Software Engineer specializing in healthcare web apps and LLM integrations
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Junior Machine Learning Engineer specializing in healthcare and IT analytics
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Intern Machine Learning & Computer Vision Engineer specializing in 3D reconstruction
Junior Machine Learning Engineer specializing in LLMs and multimodal AI
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines
Junior Generative AI Engineer specializing in LLM systems and RAG
Mid-level Generative AI Engineer specializing in LLMs, RAG, and prompt engineering
Junior Software Engineer specializing in data analytics and machine learning
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems
“Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.”
Junior Software/AI Engineer specializing in LLM agents and RAG systems
Muhammad Murtaza Murtaza
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics
“Built a production LLM fine-tuning pipeline for domain-specific code generation at Pigeonbyte Technologies, including automated collection and rigorous quality filtering of 10M+ code samples (AST validation, sandbox execution/testing, deduplication, drift monitoring, and human-in-the-loop review). Also implemented end-to-end ML orchestration in Apache Airflow with data quality gates, dataset versioning in S3, benchmarking, and automated model promotion, and has a reliability-first approach to agent/workflow design.”