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Vetted Hugging Face Professionals
Pre-screened and vetted.
Director-level AI & Automation leader specializing in enterprise RPA and GenAI transformation
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent systems
Senior Full-Stack Engineer specializing in Python backends and modern web apps
Junior Full-Stack Software Engineer specializing in cloud, microservices, and AI solutions
Mid-level AI/ML Engineer specializing in NLP, recommender systems, and MLOps in financial services
Mid-level Data Scientist specializing in AI/ML for financial services and retail analytics
Mid-level AI & Machine Learning Engineer specializing in agentic workflows and RAG/GraphRAG
Junior AI Engineer specializing in NLP, computer vision, and MLOps
Mid-level Generative AI Engineer specializing in LLM orchestration, RAG, and agentic workflows
Senior AI & Cloud Engineer specializing in GenAI and data platforms
Mid-level AI/ML Engineer specializing in LLMs, forecasting, and MLOps deployment
Mid-level Software & ML Engineer specializing in cloud data platforms and MLOps
Senior Data Scientist / ML Engineer specializing in NLP and Generative AI
Mid-Level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Rafael Ortega
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”
Jayeetra Bhattacharjee
Mid-level AI/ML Engineer specializing in LLMs, NLP, and analytics automation
“AI/ML Engineer (TCS) who built and deployed a production LLM-powered audit transaction validation service to reduce manual review of unstructured transaction records and comments. Implemented a LangChain/Python pipeline for extraction/normalization and discrepancy detection, with strong production reliability practices (decision logging, dashboards, labeled eval sets) and a human-in-the-loop auditor feedback loop to improve precision/recall under strict data-sensitivity and near-real-time constraints.”