.png){kind=logo}
Vetted Data Ingestion Professionals
Pre-screened and vetted.
jon deng
Executive AI product leader specializing in enterprise SaaS and supply chain platforms
“Product leader working at the intersection of AI, data governance, and industrial/energy operations. They have led a major finance-platform rewire for solar and wind asset forecasting at NextEra and previously built an AI-assisted field service app for fire alarm technicians across four business units, showing unusual depth in both enterprise data architecture and safety-critical mobile workflows.”
Yuchen Shen
Junior Full-Stack Engineer specializing in AI and graph-based applications
“Front-end engineer with experience at Walmart and Sam's Club building sophisticated browser-based UIs, including an internal AI chat experience that combined chat, document rendering, editing, and visualization in one workflow. Stands out for pairing modular React/TypeScript architecture with hands-on browser performance debugging and Apollo/GraphQL optimization for highly interactive enterprise interfaces.”
Daksh Parekh
Junior Data & AI professional specializing in analytics, ML, and LLM systems
“Full-stack product builder with strong GTM and applied AI experience, including end-to-end ownership of a production lead intelligence platform that combined React/TypeScript, Python services, external data enrichment, and LLM orchestration. Notably reduced SDR research time from 15-20 minutes to under 2 minutes per account and also drove an 8% revenue increase at Finding Pi by building a customer segmentation framework from analysis of 45k+ users.”
Samantha Scuddy
Director of Product specializing in payroll, HCM SaaS, and API-driven platforms
“Senior product leader with deep payroll/HCM experience across ResNav, Paycom, Paylocity, and Namely, known for rebuilding broken systems, creating product process from scratch, and influencing boards and executives on major platform decisions. She combines hands-on prototyping, strong engineering partnership, and customer-driven iteration, with examples ranging from an ML-based approvals workflow that reached 100% client opt-in to stabilizing a troubled time-off platform and reducing churn risk among major revenue clients.”
Junior Data Infrastructure Software Engineer specializing in distributed pipelines and AI extraction
Junior Software Developer specializing in IoT data pipelines and automation
Principal Product Manager specializing in AI/ML platforms and developer APIs
Principal AI/ML Engineer specializing in agentic AI and distributed systems
Mid-level AI/ML Engineer specializing in MLOps, NLP, computer vision, and Generative AI
Mid-level Software Engineer specializing in full-stack FinTech and applied AI
Junior Applied AI Engineer specializing in LLMs and Retrieval-Augmented Generation
Mid-Level Full-Stack Python Developer specializing in FinTech and data-driven web apps
Junior Hydrology Machine Learning Researcher specializing in generative and state-space models
Senior Software Engineer specializing in distributed systems and FinTech/media platforms
Executive engineering leader specializing in SaaS, AI, and cybersecurity platforms
Mid-level Full-Stack .NET Engineer specializing in Healthcare and Financial Services
Mid-Level Software Engineer specializing in cloud-native platforms and FinTech
Mid-level Full-Stack Software Engineer specializing in AI/ML and GenAI platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming platforms
Mid-level Software Development Engineer specializing in cloud-native backend systems