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Vetted BERT Professionals
Pre-screened and vetted.
Mid-level Software & ML Engineer specializing in cloud data platforms and MLOps
Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable ML platforms
Mid-level AI/ML Engineer specializing in LLMs, NLP, and scalable ML pipelines
Mid-level Data Scientist specializing in ML, NLP, and production AI workflows
Mid-level Data Scientist specializing in ML, deep learning, and manufacturing analytics
Senior Software Engineer specializing in event-driven microservices and GenAI for payments
Staff-level AI/ML Engineer specializing in enterprise RAG, agentic automation, and AI governance
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and real-time ML pipelines
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems
Senior Data Engineer specializing in multi-cloud data platforms and generative AI
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Mid-level AI/ML Software Engineer specializing in Generative AI and NLP
Rithindatta Gundu
Mid-level AI/ML Engineer specializing in LLM systems and cloud MLOps
“Built a production LLM-powered fraud detection platform at Wells Fargo, combining OpenAI/Hugging Face models with RAG-based explanations to make flagged transactions interpretable for risk and compliance teams. Delivered low-latency, real-time inference at high scale on AWS (SageMaker + EKS), with strong observability and security controls, reducing manual reviews and false positives in a regulated environment.”
Naga Gayatri Bandaru
Mid-level AI/ML Engineer specializing in MLOps and production ML systems
“Backend/ML engineer who has shipped high-scale real-time systems across e-commerce and healthcare: built a PharmEasy real-time recommendation engine for ~2M monthly users (cut feature latency 5 min→30 sec; +15% cross-sell) and architected a HIPAA-compliant multimodal clinical diagnostic workflow (DICOM+EHR) with XAI, MLOps (MLflow/Airflow/K8s), and drift/monitoring guardrails supporting 10k+ daily predictions.”
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).”