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Vetted Firebase Professionals
Pre-screened and vetted.
Staff Full-Stack & AI Engineer specializing in LLM agents, RAG, and cloud-native systems
Staff Software Engineer specializing in frontend platforms and healthcare UX
Staff Software Engineer specializing in cloud-native distributed systems for healthcare
Mid-Level Software Engineer specializing in cloud-native microservices and AI/ML
Senior Software Engineer specializing in AI infrastructure and distributed systems
Senior Software Engineer specializing in FinTech and enterprise platforms
Technology Executive specializing in AI-native engineering and cybersecurity governance
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Executive Digital & Engineering Leader specializing in D2C omnichannel and AI transformations
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Junior Full-Stack Software Engineer specializing in React, Node.js, and cloud deployments
Mid-Level Frontend Software Engineer specializing in React and React Native
Mid-level Full-Stack Software Engineer specializing in AWS microservices and web platforms
Senior Technical Game Designer specializing in AI, combat systems, and VR
Director-level Mobile App Engineer specializing in Flutter, AI, and web development
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.”
Aishwarya Sheelvant
Junior Backend & Data Engineer specializing in cloud infrastructure and ML pipelines
“Built a GenAI/RAG-based ESG questionnaire-answering agent at C3.ai, including a React dashboard with role-based access and human-in-the-loop verification by showing supporting source paragraphs. Reported outcomes included cutting a 4–5 week manual process down to about a week (~90% labor reduction) and a client-reported ESG rank improvement from 7th to 3rd.”