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Vetted Hugging Face Professionals
Pre-screened and vetted.
Mid-Level Machine Learning Engineer specializing in neuromorphic perception and distributed systems
Senior AI/ML engineering leader specializing in healthcare and life sciences
Junior AI Engineer specializing in computer vision, LLM infrastructure, and generative media pipelines
Staff Software Engineer/Manager specializing in Generative AI and enterprise platforms
Mid-level Software Engineer specializing in distributed systems and applied ML
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and document intelligence
Mid-level AI/ML Engineer specializing in NLP, speech AI, and RAG systems
Mid-level AI Engineer specializing in LLM agents and applied machine learning
Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs
Mid-level AI/ML Engineer specializing in NLP, MLOps, and financial risk & fraud analytics
Senior Python Backend Engineer specializing in Django, APIs, and AI automation
Senior Software Engineer specializing in Healthcare IT platforms
Mid-level AI/ML Product & Solutions Specialist specializing in GenAI and MLOps
Mid-Level Software Engineer specializing in AI systems and full-stack development
Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Kartikeya Anand
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and multimodal modeling
“Built and productionized a telecom-focused RAG assistant by LoRA fine-tuning LLaMA-2 and integrating LangChain+FAISS behind a FastAPI service, with dashboards and a human feedback UI for engineers. Demonstrated measurable impact (≈40% faster document lookup, +8–10% retrieval precision) and strong MLOps rigor via Airflow orchestration, CI/CD, and monitoring for drift and failures.”
Omkar Bhope
Staff Full-Stack Engineer specializing in AI platforms and infrastructure automation
“Backend/full-stack engineer building complex internal platforms and customer-facing demos at the intersection of infrastructure and product. Shipped a no-code Product Lifecycle Manager for manufacturing (3 manufacturers, 1000+ evolving tests) using AWS S3/SQS ingestion and extensible Postgres (EAV+JSONB) with end-to-end traceability. Also built a FastAPI-based company data intelligence platform with Okta-secured RBAC and an LLM/MCP layer for ChatGPT-like analytics over enterprise data sources.”
Rebecca Witmer
Principal Data Scientist specializing in NLP and Generative AI
“ML/NLP practitioner with experience building an embedding-based ad matching and search system at Vericast (BERT embeddings + similarity search) to replace a third-party taxonomy approach, evaluated via a human-curated gold standard. Also built a custom NER pipeline at Allstate for auto accident claims calls using a bidirectional LSTM and achieved 90%+ F1, with a strong emphasis on production-grade ML workflows (testing, CI/CD, orchestration, versioning, validation).”