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Vetted Databricks Professionals
Pre-screened and vetted.
Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Senior Data Scientist specializing in Generative AI and LLM evaluation
Staff-level Data Scientist specializing in LLMs, NLP, and product experimentation
Mid-level Machine Learning Engineer specializing in Generative AI and AI for science
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Senior AI/ML Engineer & Data Scientist specializing in NLP, entity resolution, and knowledge graphs
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML
Mid-level Data Engineer specializing in AI/ML and cloud data platforms
Staff Machine Learning Engineer specializing in LLMs and cloud-native AI platforms
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Senior Data Scientist specializing in large-scale ML systems and recommendations
Executive Software Engineering Leader specializing in AI/ML, cloud platforms, and distributed systems
Director-level sales and alliances leader specializing in cloud, AI, and hyperscaler partnerships
Bocheng Wan
Mid-level Software Engineer specializing in consumer robotics and machine learning
“Developer with a structured AI-assisted coding workflow centered on algorithmic rigor, type-safe scaffolding, and spec-driven modular design. Used Claude Code to help build an Android SDK for IPC, quickly ramping up on AIDL and compressing delivery including unit tests from several weeks to two weeks.”
Andrew Rosenblatt
Executive CIO specializing in AI-driven healthcare transformation and M&A integration
“Healthcare technology veteran with 21 years in the space who is now building Explain My Labs, a pre-seed startup with an alpha product already in friends-and-family testing. They bring hands-on startup preparation experience, including a pitch deck, investor meetings, and a clear thesis around a market gap in solutions that serve both patients and users.”
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Dennis Noto
Executive Technology & Security Leader specializing in FinTech, AI platforms, and enterprise modernization
“Technology transformation leader who builds board-approved roadmaps and scales engineering orgs with strong Agile execution. Led large modernization efforts (e.g., Scottrade: 3,000 programs/4M LOC in 18 months) and scaled POCs into enterprise SaaS platforms using Docker, Kubernetes, Helm, and Terraform for high-concurrency workloads.”