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Vetted Claude Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Alex M Lee
Staff Full-Stack Engineer specializing in Healthcare AI and FinTech payments
“Backend/data engineer from Oscar Health specializing in healthcare claims systems on AWS. Built HIPAA-compliant real-time services (FastAPI/Postgres/Kafka on EKS) and serverless ingestion pipelines, and led modernization of a legacy SAS claims pricing system to Python/Spark with rigorous parity validation. Demonstrated measurable impact with high uptime/low latency services and major Snowflake performance and cost reductions.”
Joshua Outwater
Director-level Engineering Leader specializing in AI platforms and FinTech systems
“Fintech and AI product engineer who has owned major production rollouts, including Lending Club's banking-arm launch, and has since built LLM-powered decision systems for finance and climate use cases. Particularly strong in combining stakeholder management with pragmatic architecture choices like observability, deterministic pipeline design, RAG, and document-to-structured-data workflows.”
“JavaScript/TypeScript engineer from Ridgeline who built a retry feature for failed staging-to-production promotions with pre-promotion health checks. Brings a backend-scaling mindset to runtime performance work (metrics-first bottlenecking, Big-O analysis, async/parallelism, caching) and leverages Cursor/AI tooling to ramp quickly on large codebases.”
David Gross
Entry AI Software Engineer specializing in LLM workflows and ML pipelines
“Built an autonomous-agent document indexing concept in a hackathon with Microsoft and The Seattle Times, architecting an Azure-based system (Azure AI Foundry, Cosmos DB, Azure indexing, Copilot Studio) and coordinating closely with the customer team. Also created and pitched a sports matchmaking app (Ludicon), combining user studies, feature implementation, and technical support on sales/investor calls.”
Senior engineering leader specializing in AI-first full-stack SaaS platforms
Entry-Level Software Development Engineer specializing in distributed systems and logistics orchestration
Entry-level Data & Quant Analytics professional specializing in finance and machine learning
Junior Software Engineer specializing in scalable systems and cloud/AI tooling
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Senior Software Engineer specializing in agentic AI and scalable backend systems
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior Data Scientist specializing in Generative AI and LLM evaluation
Senior Applied Scientist specializing in LLMs, GenAI systems, and AutoML
Senior Full-Stack Engineer specializing in Ads and FinTech platforms
Junior financial engineering analyst specializing in portfolio analytics and data science
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Kusumita Dasgupta
Director-level Engineering Leader specializing in data platforms, cloud systems, and LLM products
“Engineering leader/player-coach with recent hands-on work delivering an agentic AI MVP on Amazon Bedrock (conversational UI + supervisor agent routing between internal knowledge and external sources). Previously drove large-scale data platform cost optimization at Twitter, saving ~$3M–$5M annually, and has owned production incidents end-to-end with a focus on analytics/monitoring improvements and team coaching.”
Tina Bai
Executive operator-founder specializing in GTM, revenue strategy, and AI-native commercial operations
“Operator with Deloitte consulting experience supporting PE/VC-backed portfolio companies and current experience inside a VC-funded Series C scale-up. Building a bootstrapped D2C women’s telehealth brand (Petty Pills) with two initial SKUs, deployed tech stack, and white-labeled clinical/compliance infrastructure, leveraging AI tooling to keep operations lean while focusing on full-time operator roles.”
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”