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Vetted Vector Databases Professionals
Pre-screened and vetted.
Director-level Unity developer specializing in cross-platform game development
Senior Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Full-Stack Software Engineer specializing in cloud observability and AI systems
Junior Software Engineer specializing in Generative AI and Cloud Microservices
Senior Software Developer specializing in LLM prompt engineering and RAG systems
Junior AI/ML Engineer specializing in Generative AI production systems
Mid-level AI Engineer specializing in LLM safety, red teaming, and evaluation
Mid-level Software Engineer specializing in backend systems and AI applications
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps
Junior Full-Stack Software Engineer specializing in backend, cloud, and AI systems
Senior Full-Stack Engineer specializing in Python, cloud, and scalable web platforms
Mid-level UX Engineer specializing in design systems and frontend architecture
Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features
Avni Tripathi
Mid-level Data Scientist specializing in NLP, RAG, and information retrieval for RegTech
“Built and deployed a production document Q&A/research platform that combines semantic search (vector DB embeddings) with structured knowledge-graph querying to reduce analyst research time. Used in high-stakes domains like Politically Exposed Person profiling and extracting critical information from ESG/regulatory documents, with a human-in-the-loop evaluation process (precision@k and source-text highlighting) to ensure accuracy.”