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Vetted Hugging Face Transformers Professionals
Pre-screened and vetted.
Junior AI/ML Engineer specializing in LLMs, RAG systems, and MLOps
Senior AI/ML Engineer specializing in Generative AI, RAG, and multimodal LLM systems
Junior AI Engineer specializing in NLP, LLMs, and recommender systems
Junior Computer Vision Engineer specializing in AI/ML and transformer-based vision models
Mid-level Machine Learning Engineer specializing in Generative AI and LLMOps
Mid-level Data Scientist / GenAI Engineer specializing in LLM agents, RAG, and OCR
Director-level Applied ML Engineer specializing in GenAI, LLM systems, and MLOps
Senior Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Full-Stack Developer specializing in scalable web apps and cloud-native APIs
Senior Software Engineer specializing in AI/ML and cloud backend systems
Intern AI/ML Engineer specializing in NLP, graph analytics, and agentic RAG systems
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Mid-level Generative AI Engineer specializing in LLMs, RAG, and NLP systems
Mid-level ML Engineer specializing in AI systems and LLM infrastructure
Senior Full-Stack Engineer specializing in Python, AI, and LLM-powered platforms
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
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.”
Atiman Rohatgi
Junior Software Engineer specializing in AI/ML and full-stack applications
“AI/backend-focused builder who has shipped two distinct applied AI products: a game discovery platform with vector search + RAG chat, and an AI accounting platform for small businesses. Stands out for combining product discovery with hands-on system design, including sub-100ms retrieval performance, privacy-conscious financial workflows, and measurable impact like 58% compute-time reduction and support for 24,000+ user profiles.”
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.”