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Vetted BigQuery Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in healthcare AI and cloud platforms
Senior Full-Stack Software Engineer specializing in scalable web platforms and cloud services
Senior Backend Software Engineer specializing in cloud microservices and APIs
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Mid-level Data Scientist specializing in Generative AI and LLM applications
Senior Full-Stack Software Engineer specializing in AI/ML for FinTech & E-commerce
Andrew Stewart
Senior Software Engineer specializing in Healthcare AI and FinTech platforms
“Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.”
Senior Full-Stack Engineer specializing in microservices, data pipelines, and cloud platforms
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Senior Software Engineer specializing in cloud-native microservices and large-scale backend systems
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Deepak Guntreddi
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”
Staff Software Engineer specializing in Healthcare IT and mobile platforms
Executive Technology & Data Leader specializing in AI, cloud modernization, and digital strategy
Senior Full-Stack Engineer specializing in frontend architecture, AI, and scalable web apps
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Senior Full-Stack Software Engineer specializing in cloud-native web and mobile apps
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Mid-level AI/ML Engineer specializing in LLMs, NLP, and MLOps