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Vetted Full Stack Software Engineers in the Bay Area
Pre-screened and vetted in the Bay Area.
Junior Full-Stack Software Engineer specializing in geospatial and real-time data systems
Senior Full-Stack Software Engineer specializing in Healthcare IT and FinTech integrations
SREE SAI BINDU DEVALAM
Mid-level Full-Stack .NET Engineer specializing in AI-integrated enterprise applications
“Full-stack engineer who has owned an operations/reporting dashboard end-to-end, spanning React/TypeScript frontend architecture, ASP.NET Core APIs, and SQL data access. Stands out for combining strong UI performance optimization with pragmatic backend decisions, post-launch monitoring, and 0→1 startup platform building that improved API speed by 35% while supporting 2,000+ transactions per hour.”
Mid-level Full-Stack Software Engineer specializing in cloud, data visualization, and healthcare AI
Junior Full-Stack Software Engineer specializing in FinTech APIs
Mid-Level Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Mid-level Full-Stack Engineer specializing in backend systems and FinTech
Mid-level Full-Stack Software Engineer specializing in React and Python APIs
Junior Full-Stack Software Engineer specializing in defense and cloud web applications
Mid-level Full-Stack Engineer specializing in scalable web platforms and data systems
Kevin Mathews
Mid-Level Full-Stack Software Engineer specializing in Next.js, React, and cloud platforms
“Full-stack engineer from Vagaro who owned an end-to-end rebuild of a sluggish WordPress sales site into a Next.js 15 app hosted on Azure, adding Hygraph headless CMS, SSR, i18n, and a reusable component library. Instrumented Amplitude + A/B testing/heatmaps and reports a 10% sales lift post-launch; also has AWS ops experience (S3/IAM/CloudWatch) and has built ingestion pipelines including LLM-powered unstructured data processing with dead-letter handling.”
Ranxin Li
Mid-Level AI/Full-Stack Engineer specializing in agentic LLM systems and RAG
“Built and deployed Clyra.AI, an AI-driven daily scheduling product that uses a LangGraph-based multi-agent LLM pipeline (task extraction, verification, reflection) grounded with strict RAG over emails/documents/calendars and real-world signals like health metrics. Designed a custom agent orchestrator with bounded loops/termination conditions and a self-auditing verification/reflection layer to reduce hallucinations while controlling latency and cost via caching and model distillation.”
Jay Patil
Mid-level Full-Stack AI/ML Engineer specializing in LLMs and intelligent systems
“Built a semantic search portal for a fellowship department and an AI-driven PR review pipeline, using AI selectively for boilerplate while retaining full ownership of architecture, security review, testing, and deployment. Has hands-on experience with multi-agent systems, monitoring, and security validation, with a notably disciplined approach to catching false positives and rewriting weak AI output.”
Mid-Level Full-Stack Software Engineer specializing in React, Next.js, and Node.js
Director-level AI/ML Software Engineer specializing in production LLM and healthcare systems
Mid-level Full-Stack .NET Developer specializing in Angular and Azure
Senior Full-Stack Software Engineer specializing in web applications and mission-critical systems
Mid-level Full-Stack Software Engineer specializing in AI workflows and platform development
Senior Full-Stack Python Developer specializing in microservices, data engineering, and cloud
Mid-level Software Engineer specializing in backend, cloud-native systems, and AI applications