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Vetted Snowflake Professionals
Pre-screened and vetted.
Anirudh Raj
Entry-Level Machine Learning & Cloud Engineer specializing in AI data pipelines
“Early-career cloud/appsec-focused engineer with hands-on experience building secure, observable microservice systems on AWS (IAM least privilege, KMS encryption, Secrets Manager, CloudWatch, ALB) and troubleshooting autoscaling-related 500s down to connection pooling issues. Also deployed heavy ML workloads on Kubernetes by decomposing diffusion/transformer services, using workload identity to eliminate static credentials, and maintaining GitOps-style deployment audit trails.”
Seymour Douglas
Executive Data & AI Leader specializing in cloud-native platforms and data-intensive systems
“Data/ML and product leader with large-scale consumer and enterprise experience (including Walmart) who blends hands-on prototyping with executive stakeholder alignment. Has delivered measurable outcomes across personalization, semantic search/knowledge graphs, and fraud/security architecture, and has scaled organizations rapidly (30→180 in 12 months) by upskilling and building modern data/ML engineering capabilities.”
Baliram Maurya
Senior Full-Stack Engineer specializing in Java microservices and Healthcare IT
“Backend engineer with hands-on experience modernizing healthcare platforms in a startup-like team of 8-12 across engineering, QA, DevOps, and product. They personally drove scalable Java/Spring Boot microservices for healthcare workflows, including FHIR integrations, real-time data pipelines, and resilient integrations with legacy and third-party systems.”
Luke Evers
Director-level engineering leader specializing in full-stack product and e-commerce systems
“Candidate is an aspiring founder currently exploring startup ideas and potential collaborators, with firsthand experience as an early employee at VC-backed companies, including joining a current company shortly after seed funding. They have not raised capital themselves but bring early-stage operating exposure and a strong desire to build something they own with a high-trust team.”
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI, NLP, and predictive modeling
Intern Software Engineer specializing in AI agents, MLOps, and data engineering
Mid-level Prompt Engineer specializing in Generative AI and RAG systems
Mid-Level Software Development Engineer specializing in Healthcare IT and FinTech
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in credit risk, NLP, and fraud detection
Mid-level Data Scientist specializing in AI/ML for healthcare analytics
Mid-level Data Engineer specializing in multi-cloud data pipelines and real-time analytics
Mid-level Data Scientist specializing in ML, NLP, and cloud data platforms
Mid-level Data Engineer specializing in cloud data pipelines, analytics, and AI/ML
Mid-Level Software Engineer specializing in backend systems, cloud, and AI/ML
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Mid-level Data Analyst specializing in financial analytics and reporting
Mid-level Business Analyst specializing in healthcare and finance analytics
Mid-level Machine Learning Engineer specializing in LLMs, semantic search, and distributed data pipelines
Mid-level QA Automation Test Engineer specializing in API/UI automation and regulated domains
Mid-level Data Engineer specializing in cloud lakehouse, streaming, and Snowflake/Databricks