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Vetted AI & Machine Learning Professionals
Pre-screened and vetted.
Popular Titles
Mid-level AI Engineer specializing in LLM agents and applied machine learning
Senior Machine Learning Engineer specializing in Generative AI and NLP
Mid-level Mechanical Engineer specializing in medical robotics and machine learning
Mid-level AI/ML Engineer specializing in NLP, MLOps, and financial risk & fraud analytics
Mid-level AI Engineer specializing in Generative AI and LLM/RAG systems
Senior RPA & Automation Architect specializing in Agentic AI and enterprise hyperautomation
Senior AI/ML Engineer specializing in GenAI, MLOps, and healthcare analytics
Senior AI/ML Engineer specializing in Generative AI and Computer Vision
Senior Data Engineer specializing in Cloud Data Platforms and Generative AI
Senior Python Backend Engineer specializing in Django, APIs, and AI automation
Intern Machine Learning Engineer specializing in LLMs, retrieval, and vision-language models
Mid-level Software Engineer specializing in AI, data engineering, and cloud systems
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI
Director-level AI/ML engineering leader specializing in platform and product development
Parvathi Primilla
Entry-level Robotics Engineer specializing in autonomous navigation and computer vision
“Robotics/IoT engineer who deployed a fog-enabled real-time monitoring system (edge Raspberry Pi + MQTT + cloud logging) and validated it via an IEEE-indexed publication. Strong in autonomous navigation with ROS/Gazebo, SLAM/localization, and cross-layer debugging using timing/transform-delay correlation. Extends Python computer vision pipelines (YOLO + OpenCV/Albumentations) for custom datasets and weather-specific conditions.”
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.”
keerthana medaveni
Mid-Level AI/ML Software Engineer specializing in agentic LLM systems
“Built and deployed a production LLM-powered multi-agent compliance copilot (life sciences/finance) using LangChain/LangGraph + RAG over vector databases, delivered via async FastAPI on Kubernetes. Emphasizes audit-ready, deterministic outputs with schema constraints and citations, plus rigorous evaluation/monitoring; reports 60%+ reduction in manual research time and successful production adoption.”
Jingyi Tian
Junior Machine Learning Engineer specializing in MLOps and LLM/RAG systems
“LLM/agentic workflow builder focused on productionizing document-processing systems. Redesigned pipelines with LangGraph + RAG, schema-aware validation, and eval/monitoring loops; known for fast incident diagnosis (restored accuracy from ~70% to >95% same day). Partners closely with sales and stakeholders to deliver tailored demos and drive adoption (reported +40%).”