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Vetted Prompt Engineering Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Staff Machine Learning Engineer specializing in LLMs and cloud-native AI platforms
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Intern Machine Learning Engineer specializing in LLM systems and recommendation/search
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
Senior Software Engineer specializing in AI/ML, search, and scalable cloud platforms
Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Senior Machine Learning Scientist specializing in LLMs, RAG, and health AI
Director-level engineering leader specializing in AI platforms and consumer applications
Principal AI Infrastructure Engineer specializing in distributed systems and streaming platforms
Peter Gluck
Principal Software Engineer specializing in scalable, secure multi-platform systems
“Engineering leader and former CTO/Disney|ABC engineering manager who built white-label mobile app architecture that supported a branded app and successful exit, and later scaled Disney Channel brand app teams across iOS/Android/web and major OTT platforms. Led kid-safety architecture for DisneyNOW (“Junior mode” with PIN) and partnered with product/legal on COPPA compliance, emphasizing maintainable tech choices and strong execution processes.”
Raghu Warrier
Principal Product Leader specializing in healthcare AI and data platforms
“Healthcare product leader with deep oncology and pharma experience who has built both foundational clinical data platforms and AI-powered patient engagement workflows. Particularly notable for combining rigorous data standardization, LLM evaluation/guardrail design, and human-centered communication changes that drove measurable medication refill and adherence improvements. Also teaches AI to product managers and business analysts, bringing a pragmatic, education-first view of human-centered AI adoption.”
Alejandra Cuin
Senior Venture & AI Strategy Consultant specializing in investing, portfolio ops, and ecosystem building
“Venture investing/sourcing professional with experience at L'Attitude running high-volume founder sourcing across tools (Harmonic) and ecosystem channels (accelerators, hackathons, Discord, university labs). Demonstrated ability to turn cold outreach and early relationships into diligence and investment committee discussions, while maintaining a rigorous CRM-driven pipeline process and long-term founder nurturing through consistent value-add.”
Brian Sanders
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
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.”
Shashikant Sreenivasaiah
Executive software engineer and founder specializing in AI, robotics, and cloud systems
“AI-native engineer who says 100% of current development is done through coding agents and reports roughly 10x productivity gains. Currently building 'AI TV,' a production video-generation system with multi-agent orchestration, including a motion-graphics pipeline where agents handle high-level design, low-level implementation, and iterative review. Particularly strong in designing codebases and workflows so AI systems can effectively use architectural and product context.”