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Vetted Google Cloud Platform Professionals
Pre-screened and vetted.
Junior Full-Stack/Cloud Engineer specializing in AI and data-driven applications
Mid-Level Software Engineer specializing in AI systems and full-stack development
Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems
Senior Technical Support Engineer specializing in cloud and container security
Mid-level QA Engineer specializing in manual and automation testing for web, mobile, and APIs
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Mid-Level Full-Stack & Cloud Engineer specializing in scalable distributed systems
Mid-level Data Engineer specializing in GCP, Spark, and healthcare analytics
Mid-level Backend/Data Engineer specializing in legal data pipelines and APIs
Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI
Entry-level Software Engineer specializing in systems and healthcare data
Senior Full-Stack Engineer specializing in web, mobile, and product growth
Senior Software Engineer specializing in backend systems and data engineering
Senior Software Engineer specializing in backend systems and FinTech screening platforms
Senior Full-Stack Engineer specializing in cloud-native AI and SaaS platforms
Senior Full-Stack Engineer specializing in backend, cloud, and AI systems
Luka Baljak
Senior Software Engineer specializing in full-stack web and AI-powered SaaS
“Frontend-leaning product engineer who took broad ownership of a recently launched AI-powered customer support chat designed to deflect support tickets. They designed the overall system, built the full frontend, contributed to backend work, and served as a key source of product and technical continuity for a globally distributed team.”
Jayadeep Nukala
Mid-level Full-Stack Engineer specializing in AI platforms and FinTech
“Built full-stack and AI-driven products spanning banking KYC modernization and enterprise software testing automation. Particularly strong in productionizing LLM workflows in regulated environments, using deterministic orchestration, RAG, and human-in-the-loop controls to improve test coverage to 80% and reduce QA reporting burden by over 50%.”
Viraj Paresh Shah
Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and compliance
“Full-stack/backend engineer with healthcare and enterprise experience: built and secured AWS-hosted services for a clinical EHR product that redacts/transforms hospital patient records for pharma customers (e.g., AstraZeneca, Johnson & Johnson). At Cisco, led an incremental Ruby-to-Python/Django migration for a compliance backend, and has deep multi-tenant security experience using Postgres RLS tied to JWT plus DLQ patterns to harden data pipelines.”
Sean Cohen
Executive medical device engineering leader specializing in digital health hardware platforms
“Engineering and operations leader in connected healthcare/medical devices with senior experience at AliveCor and Sibel Health. He has owned everything from ultra-thin FDA-cleared ECG hardware architecture and firmware-risk decisions to supplier qualification, manufacturing system buildout, and make-vs-buy strategy across a portfolio of clinical sensing products. Strong differentiator: combines deep technical judgment with hands-on manufacturing scale-up, including taking KardiaMobile Card to mass production in under 18 months and driving Sibel to 98%+ yield with controlled production processes.”
Tzu Tang Liu
Mid-level Machine Learning Engineer specializing in applied AI and RAG systems
“Built and owned a zero-to-one AI knowledge workspace that turns chats and documents into a reusable structured section map, spanning React/TypeScript frontend, FastAPI backend, LLM pipelines, and cloud deployment. Also shipped a crypto scoring multi-agent system that combines market, GitHub, and on-chain signals, showing strong end-to-end AI product and orchestration experience.”