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Vetted AWS Glue Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in GenAI, NLP, and recommendation systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable ML platforms
Mid-level Data Scientist specializing in ML, NLP, and production AI workflows
Senior Data Scientist specializing in marketing analytics, attribution, and revenue forecasting
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Mid-level Data Engineer specializing in cloud data platforms and FinTech analytics
Senior Data Engineer specializing in Azure, Databricks, and BI/ETL platforms
Senior Data Engineer specializing in cloud data platforms and real-time streaming pipelines
Mid-level DevOps & Cloud Engineer specializing in AWS/Azure, Kubernetes, and IaC
Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics
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.”
Senior Data Engineer specializing in multi-cloud data platforms and generative AI
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Soham Patel
Mid-level Machine Learning Engineer specializing in healthcare NLP and MLOps
“ML/AI practitioner in healthcare (Syneos Health) who has deployed production clinical NLP and risk models. Built a BERT-based physician-note information extraction system on Docker + AWS SageMaker (reported ~42% retrieval improvement) and automated retraining/deployment with Airflow and drift detection, while partnering closely with clinicians to drive adoption (reported ~18% readmission reduction).”
Srinivas Tenneti
Mid-level AI/ML Engineer specializing in GenAI and predictive modeling
“Built and deployed a GPT-4-powered medical assistant for clinical staff to reduce time spent searching guidelines and EHR information, with a strong emphasis on safety and compliance. Uses strict RAG, confidence thresholds, and fallback behaviors to prevent hallucinations, and runs production-grade workflows orchestrated with LangChain/LangGraph plus Docker/Kubernetes/MLflow and monitoring for reliability and cost.”
Kavya Paluvai
Mid-level Data Scientist specializing in fraud detection and healthcare ML
“Applied NLP/ML in healthcare and financial services, including fine-tuning BERT on unstructured EHR text and building embedding-based similarity search for clinical concepts. Also redesigned a Wells Fargo fraud detection data pipeline using modular Python + AWS Glue/Step Functions, cutting runtime ~40% with improved monitoring and reliability.”
Ananya Bojja
Mid-level AI/ML Engineer specializing in healthcare analytics and MLOps
“AI/ML engineer at Cigna Healthcare building a production, HIPAA-compliant LLM-powered clinical insights platform that summarizes unstructured medical notes using a fine-tuned transformer + RAG on AWS. Demonstrates strong end-to-end MLOps and cloud optimization (distillation, Spot/Lambda/Auto Scaling) with quantified outcomes (~28% accuracy lift, ~40% less manual review, ~25% lower ops cost) and strong clinician-facing explainability via SHAP and dashboards.”