.png){kind=logo}
Vetted Web Scraping Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Engineer specializing in Python/Go, cloud-native systems, and AI applications
Mid-level Software Engineer specializing in full-stack and cloud data platforms
Junior Full-Stack Software Engineer specializing in data-driven web apps and cloud platforms
Mid-level Software Engineer specializing in backend systems and event-driven data pipelines
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Senior Data Engineer specializing in cloud data pipelines and big data platforms
Mid-level Software Engineer specializing in backend services and data engineering
Mid-level Data Analyst specializing in analytics, BI, and data engineering
Mid-level Software Engineer specializing in full-stack systems, AI, and cybersecurity
Mid-level Full-Stack Software Engineer specializing in type-safe systems
Entry-level Software Engineer specializing in AI systems and embedded computing
Mid-level Software Engineer specializing in full-stack and cloud platform development
Emily Hottal
Director-level Product Leader specializing in AI, data, and customer engagement SaaS
“Senior product leader at Airship driving both major platform modernization and the company's AI transformation. They led a contact-centric rebuild touching nearly the entire customer engagement platform, then built an AI recommendations product on Vertex/Gemini with a design-partner rollout model. They also bring rare depth across analytics, experimentation, personalization, and email marketing, plus experience rebuilding PM teams and shaping product strategy with executive leadership.”
Cheryl Fernandes
Senior Full-Stack AI Engineer specializing in enterprise workflow and LLM systems
“Cheryl Fernandez is a frontend/platform engineering leader who has built complex real-time products in highly regulated healthcare and enterprise investigation environments. She combines deep React/TypeScript and streaming architecture expertise with cross-functional ownership across APIs, infrastructure, device behavior, and product strategy, including modernizing FDA-audited remote patient monitoring systems and adding AI-assisted workflows at EY.”
Emmanuel Ngalima
Mid-Level Software Engineer specializing in geospatial AI and cloud security automation
“Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).”
Mounika Nadendla
Senior Data Engineer specializing in cloud data platforms and real-time streaming
“Data engineer focused on building reliable, production-grade data systems end-to-end: batch and real-time pipelines (Airflow/Kafka/Spark) with strong data quality, monitoring/alerting, and incident response. Has experience integrating external API/web data with retries, throttling, and schema-change handling, and serving curated datasets to analytics (Power BI) and backend consumers with performance optimizations like Redis caching.”
Trevor Peace
Senior Full-Stack Engineer specializing in Healthcare IT
“Founding/sole engineer who has built multiple healthcare products from scratch, spanning medical billing, cardiology triage, and cardiac device monitoring. Particularly compelling for healthtech and AI roles: they combine full-stack TypeScript/AWS execution with strong product judgment in regulated settings, including shipping voice-enabled RAG workflows and rejecting unsafe AI automation when simpler human-in-the-loop UX was the right answer.”