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Vetted Google Cloud Platform Professionals
Pre-screened and vetted.
Executive VP of Engineering specializing in FinTech platforms, cloud modernization, and AI/ML
Executive AI Engineering Leader specializing in research-to-production LLM systems
Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation
Senior Data Engineer specializing in cloud lakehouse platforms and healthcare data
Mid-Level Software Engineer specializing in data infrastructure and LLM applications
Senior AI/ML Engineer specializing in production AI systems for healthcare and finance
Senior Product Designer specializing in enterprise SaaS, cloud infrastructure, and AI-driven tools
Senior Software Engineer specializing in cloud platforms and real-time collaboration
Executive Founder/CEO specializing in AI platforms for healthcare and enterprise automation
Mid-level DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Director of Engineering specializing in cloud, microservices, and data-intensive platforms
Senior Site Reliability Engineer specializing in multi-cloud, Kubernetes, and observability
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Vighanesh Sharma
Mid-level Software Engineer specializing in cloud-native platforms and healthcare systems
“Backend engineer with healthcare-domain experience building a security-critical RBAC identity/authentication/authorization microservice suite used across hospital imaging platforms (X-Ray, Ultrasound, etc.). Demonstrates strong security mindset (mTLS, cert hygiene, JWT, pen-testing collaboration) and pragmatic scaling/reliability practices (Nginx load balancing, Redis caching, automated tests, canary rollouts).”
Chris Michaelson
Executive Engineering Leader specializing in cloud, DevSecOps, and large-scale platform modernization
“Co-founded a Digital Loss Prevention (DLP) startup and raised $6M in seed funding by showcasing a controlled, laptop-based technology demo. Post-funding, drove MVP planning and execution by sequencing operations and assembling a team to build an appliance MVP, using an iterative build/evaluate/visualize approach.”
Anand Madhusoodanan
Executive HR Tech & Salesforce Architect specializing in AI-driven recruiting automation
“Co-founder of an HR tech startup who took an LLM-centered skill intelligence engine from prototype to production to deliver explainable, skill-based resume insights as an alternative to black-box ATS screening. Previously worked in consulting (Deloitte, Stand Up, Brilio), with experience in technical demos/workshops, pre-sales scoping, and supporting large deal cycles (including a ~$1M UK automotive client).”
Nandini Kosgi
Mid-level AI/ML Engineer specializing in LLMs, RAG, and fraud/risk analytics in Financial Services
“Built and shipped a production-grade GenAI Fraud & Compliance Investigation Copilot for a large US bank, integrating OCR docs, structured data, and prior case history to generate grounded, regulator-friendly summaries and red-flag highlights. Demonstrates strong end-to-end LLM systems engineering (LangGraph/LangChain, hybrid retrieval with FAISS+BM25, guardrails/citations, streaming/latency optimization) plus rigorous evaluation and close partnership with compliance stakeholders.”