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Vetted Clustering Professionals
Pre-screened and vetted.
Fatemeh Taghvaei
Junior AI/ML Engineer and Instructor specializing in deep learning, computer vision, and NLP
“Computer-vision practitioner and educator who built a real-time license plate recognition system (OpenCV/Python + KNN) optimized to run on a Raspberry Pi with camera integration. Also designs hands-on deep learning coursework, incorporating recent transformer-based vision research (Vision Transformers) into practical labs on real datasets.”
Jani Miya Shaik
Mid-level Data Scientist / ML Engineer specializing in FinTech and Healthcare ML systems
“AI/LLM engineer who has shipped production RAG systems (including a 250K-document compliance knowledge tool on AWS) and focuses on reliability via citations, guardrails, and rigorous evaluation (Ragas/Opik/DeepEval). Also built a LangGraph-orchestrated webcrawler agent that cut research paper extraction from hours to minutes, and collaborated with clinical teams to deliver patient volume forecasting with an optimization layer for staffing.”
Junior Product & Full-Stack Engineer specializing in AI and analytics automation
Junior AI/ML Engineer specializing in NLP, LLMs, and production ML systems
Junior Data Scientist specializing in ML, NLP, and Computer Vision
Intern Machine Learning Engineer specializing in RAG, semantic search, and applied NLP
Mid-level Data Analyst and AI Engineer specializing in NLP, RAG, and BI analytics
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
Senior Data Scientist / AI/ML Engineer specializing in NLP, LLMs, and RAG systems
Mid-level AI/ML Engineer specializing in healthcare claims analytics and NLP
Junior Robotics Software Engineer specializing in ROS 2 controls and simulation
Mid-level AI/ML Engineer specializing in LLMs, Generative AI, and MLOps
Mid-level Data Scientist specializing in NLP, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and Computer Vision
Mid-level AI/ML Engineer specializing in GenAI, NLP, and cloud MLOps