.png){kind=logo}
Vetted Unsupervised Learning Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in NLP, recommender systems, and time-series forecasting
Mid-level Data Scientist / AI-ML Engineer specializing in MLOps, geospatial analytics, and GenAI
Mid-level Data Scientist specializing in ML, MLOps, and Generative AI
Mid-Level Full-Stack Engineer specializing in customer solutions and AI/ML-enabled products
Mid-level Machine Learning Engineer specializing in multimodal GenAI and RAG systems
Mid-level Data Scientist / AI/ML Engineer specializing in MLOps, geospatial analytics, and GenAI
Mid-level AI/ML Engineer specializing in generative AI, NLP, and MLOps
Mid-level Data Scientist specializing in deep learning, NLP, and time-series forecasting
Mid-level Generative AI/ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Scientist specializing in NLP, Generative AI, and ML pipelines
Senior AI/ML Engineer specializing in Generative AI, RAG, and multimodal LLM systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production inference platforms
Mid-Level Software Engineer & Consultant specializing in enterprise platforms
Senior Machine Learning Engineer specializing in LLMs, RAG, and MLOps
CharanTeja Kurakula
Entry-Level AI Engineer specializing in NLP and LLM-powered applications
“AI engineer who built an agentic, production-deployed LLM workflow for tobacco violation parsing and automated multi-case creation, using six specialized agents and a human-in-the-loop confidence-threshold routing design. Addressed data privacy constraints by generating synthetic datasets with LLM prompting, and orchestrated reproducible end-to-end pipelines in LangChain with robust testing and evaluation (precision/recall, micro-F1).”
Intern-level Business Analytics professional specializing in data science and BI
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines