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Vetted Supabase Professionals
Pre-screened and vetted.
Director-level Applied ML Engineer specializing in GenAI, LLM systems, and MLOps
Mid-level Full-Stack Software Engineer specializing in web platforms and AI
Senior Full-Stack Engineer specializing in scalable web and cloud platforms
Mid-level Software Engineer specializing in cloud-native distributed systems and AI (RAG)
Junior Machine Learning Engineer specializing in scalable ML systems and LLMs
Mid-Level Full-Stack Software Engineer specializing in backend APIs and cloud-native FinTech
Mid-level Full-Stack Developer specializing in React/Next.js and Azure
Entry-Level Software Engineer specializing in AI/NLP and full-stack development
Entry-Level Full-Stack Web Developer specializing in modern JavaScript applications
Senior Full-Stack Software Developer specializing in React/Next.js and Node.js
Mid-level Front-end Engineer specializing in SaaS, AI, and Healthcare IT
Senior Frontend/Full-Stack Developer specializing in FinTech and high-performance web apps
Tirth Shah
Mid-level AI/ML Engineer specializing in anomaly detection, data tooling, and cloud-native systems
“Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.”
Krystal Galdamez
Junior Full-Stack Engineer specializing in AI-powered web applications
“Startup-focused engineer who has shipped Python backend features, AI integrations, and Playwright automation for products including an AI coaching platform and hiring workflow tools. Stands out for working through ambiguous zero-spec environments, hardening flaky Firebase-authenticated test flows, and designing practical fallback paths when AI outputs are unreliable.”
Parth Shroff
Entry-level Full-Stack Software Developer specializing in AI and cloud applications
“Full-stack engineer who has independently owned and shipped educational web products from concept through launch, including an AI-powered thermodynamics tutoring app and a physics learning platform tied to research publication. Strong in React plus AWS serverless architecture, with a clear pattern of working directly with non-technical stakeholders, iterating from user feedback, and maintaining production systems end-to-end.”