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Vetted Model Monitoring Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in AI, ML infrastructure, and backend systems
Mid-level Machine Learning & GenAI Engineer specializing in RAG and multimodal AI systems
Mid-level Data Scientist specializing in ML, MLOps, and Generative AI
Senior AI Engineer specializing in Generative AI and cloud-native ML platforms
Mid-level AI/ML Data Engineer specializing in MLOps and Generative AI
Mid-level Data Scientist / AI/ML Engineer specializing in MLOps, geospatial analytics, and GenAI
Mid-level Generative AI/ML Engineer specializing in LLMs, RAG, and MLOps
Senior AI/ML Engineer specializing in NLP, computer vision, and cloud ML systems
Mid-level MLOps/Machine Learning Engineer specializing in cloud-native production ML
Mid-level Machine Learning Engineer specializing in Generative AI and LLMOps
Junior AI/ML Engineer specializing in Generative AI production systems
Intern AI/ML Engineer specializing in NLP, graph analytics, and agentic RAG systems
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps
Mid-level Generative AI Engineer specializing in LLMs, RAG, and NLP systems
Rukmini Pisipati
Junior AI/ML Engineer specializing in LLM automation and NLP
“Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.”