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Vetted Hugging Face Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Intern Data Scientist specializing in machine learning and trustworthy AI
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Intern Machine Learning Engineer specializing in LLM systems and recommendation/search
Senior Data Scientist specializing in large-scale ML systems and recommendations
Senior Machine Learning Scientist specializing in LLMs, RAG, and health AI
Brian Sanders
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and distributed MLOps
Executive Full-Stack Developer specializing in computer graphics and AI-powered visual search
Senior Software Engineer specializing in AI/ML, search, and recommendation systems
Intern Machine Learning Engineer specializing in LLMs, RAG, and model quantization
Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain
Mid-level Data Scientist specializing in ML for healthcare and strategy analytics
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Staff Data Scientist / AI-ML Engineer specializing in fraud detection, NLP, and recommendations
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Software Engineer specializing in FinTech payments and scalable platforms
Mid-level AI/ML Engineer specializing in FinTech risk and fraud systems
Bhavani Shekhawat
Engineering Manager specializing in AI/ML platforms and 0→1 product delivery
“Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.”
Kenil Tanna
Staff-level Machine Learning Engineer specializing in LLMs and MLOps for Financial Services
“Machine learning/NLP practitioner at J.P. Morgan who led development of a production RAG system and an entity resolution pipeline for complex financial data. Deep hands-on experience with embeddings (Sentence-BERT), vector search (FAISS/pgvector), LLM fine-tuning (LoRA/PEFT), and rigorous evaluation (human-in-the-loop + A/B testing) backed by strong MLOps on AWS (Docker/Kubernetes, MLflow, Prometheus/Datadog).”