Vetted Full Stack Developers in the Bay Area

Pre-screened and vetted in the Bay Area.

Sai Tejaswi Mandoji - Junior Full-Stack Software Engineer specializing in cloud-native apps and healthcare integration in San Jose, CA

Junior Full-Stack Software Engineer specializing in cloud-native apps and healthcare integration

San Jose, CA3y exp
Saayam for AllUniversity of Central Missouri
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AM

Mid-level Full-Stack Software Engineer specializing in web platforms and AI integration

San Francisco, CA10y exp
FlairXPurdue University
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TS

Mid-Level Full-Stack Developer specializing in React/Node.js and GCP deployments

Fremont, CA5y exp
Exxact CorporationUC Riverside
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NC

Mid-Level Full-Stack Software Engineer specializing in scalable web apps and AI workflows

San Jose, California3y exp
CliniviseUniversity of Cincinnati
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NV

Senior Full-Stack Software Engineer specializing in Kubernetes and internal tooling

Brisbane, CA8y exp
Swiftpod LLCHolberton School (San Francisco)
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RC

Mid-level Full-Stack Developer specializing in web, mobile, and AI-powered applications

San Francisco, CA3y exp
SlidezGeorge Mason University
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DM

Senior Full-Stack Developer specializing in Azure cloud-native microservices

Sunnyvale, CA13y exp
Asclepius ConsultingJawaharlal Nehru Technological University, Kakinada
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Volodymyr Pisotskyi - Junior Full-Stack Engineer specializing in AI-powered web applications in San Francisco, CA

Junior Full-Stack Engineer specializing in AI-powered web applications

San Francisco, CA2y exp
Code the DreamHack Reactor

Full-stack engineer building production AI/RAG systems for benefits workflows, including a state-level deployment that introduced filestore-based evaluation and improved answer correctness by about 30%. Strong across Next.js, backend infrastructure, and AI evaluation tooling, with hands-on experience in LangChain/LangGraph, Langfuse, accessibility-minded UI work, and zero-to-one product leadership in fast-moving environments.

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SIVA RAMAKRISHNA PALADI - Mid-level AI/Full-Stack Engineer specializing in agentic AI and RAG systems in Santa Clara, CA

Mid-level AI/Full-Stack Engineer specializing in agentic AI and RAG systems

Santa Clara, CA5y exp
AdHopperUniversity of the Pacific

Solo builder who shipped two ambitious AI products from scratch: Zoly, a healthcare/pharmacy automation platform with voice agents, RAG, clinician dashboard, and patient app live in 4 months, and Breeth, a contextual memory system for AI agents deployed on AWS. Particularly compelling for teams needing a hands-on full-stack/AI engineer who can operate in ambiguity, design for safety and compliance, and turn complex agent workflows into production products.

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VV

Mid-level Full-Stack Engineer specializing in FinTech and e-commerce platforms

San Jose, California3y exp
Saayam for AllCal State Fullerton
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SS

Mid-level Full-Stack Developer specializing in cloud-native microservices and React

Santa Clara, California4y exp
QuestionGuru.NETSaint Louis University
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SS

Senior Software Engineer specializing in distributed systems and cloud data pipelines

San Francisco, CA7y exp
FrictionlessNJIT
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AD

Senior Software Engineer specializing in cloud-native FinTech and InsurTech systems

San Francisco, CA11y exp
TrellisBecker College
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KK

Mid-level Full-Stack Developer specializing in scalable web apps and cloud-native APIs

San Jose, CA5y exp
Oatmeal AI IncSan Francisco Bay University
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DT

Junior Full-Stack AI Developer specializing in multi-agent LLM systems on AWS

Alamo, CA2y exp
DAVTEQSan Francisco State University
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TD

Senior Software Engineer specializing in backend ML and Generative AI platforms

San Francisco, CA10y exp
TangoColeman University
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Tony Barreto - Mid-Level Full-Stack Software Developer specializing in modern web apps in San Francisco, CA

Tony Barreto

Screened ReferencesModerate rec.

Mid-Level Full-Stack Software Developer specializing in modern web apps

San Francisco, CA5y exp
DRIMOVCity College of San Francisco

Product-focused full-stack builder who has shipped and operated multiple production apps from scratch, including an e-commerce bakery delivery scheduler (with concurrency controls and timezone handling) and a real-time passenger music-request system for Lyft rides that hit and resolved YouTube API rate-limit scaling issues via debouncing and caching. Strong in React+TypeScript and Node.js/TypeScript backends, with solid PostgreSQL/PostGIS data modeling and performance tuning.

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