Vetted Vercel Professionals

Pre-screened and vetted.

MC

Mid-Level Software Engineer specializing in cloud-native backend and distributed systems

Toronto, Canada5y exp
Planeri.ioBrainStation
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DM

Senior Full-Stack Engineer specializing in data-driven SaaS and web platforms

McHenry, IL11y exp
StyliticsRadford University
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ZG

Zahan Goel

Screened

Junior AI/ML Engineer specializing in LLM systems and mechanistic interpretability

Remote2y exp
Daice LabsGeorgia Tech

Second most active contributor at Daice Labs, owning a production AI-powered software development collaboration platform’s end-to-end execution infrastructure (TypeScript/Next.js backend, Node.js CLI, shared libs). Built the full multi-agent pipeline (planning/codegen/summary), Supabase-backed context assembly and realtime state, Git/GitHub automation, and a provider-agnostic LLM abstraction with strict Zod validation and retries, backed by extensive tests and design specs.

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WL

winston lo

Screened

Junior Software Engineer specializing in AI agents, RAG, and full-stack development

Remote2y exp
Tresle AIUC Berkeley

Backend engineer who built and iterated a secure, multi-tenant RAG system over a large document corpus, emphasizing strict RBAC/ACL isolation, hybrid retrieval (vector+keyword), reranking, and strong observability to balance relevance, latency, and cost. Also led production refactors/migrations using strangler + feature flags/dual writes and has experience catching subtle real-world failure modes (including in a sensor calibration optimization pipeline).

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JY

Jiacheng Yin

Screened

Intern Software Engineer specializing in data engineering and AI agent systems

Beijing, China1y exp
JD.comCornell University

AI engineer at Anote.ai who built and shipped a production multi-agent LangGraph/LangChain/Ray RAG platform for enterprise search and workflow automation, supporting 3 commercial products and 100+ developers. Drove measurable gains (30% accuracy improvement, lower latency) and improved reliability with Redis-based state checkpointing, message-queue synchronization, and Milvus retrieval optimizations, while partnering with PMs/clients to add transparency features like confidence scores and real-time logs.

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TT

Junior Full-Stack Engineer specializing in web applications and backend systems

San Jose, CA3y exp
ParadigmUC Irvine

Software engineer at Paradigm who is deeply hands-on with agentic development workflows and AI-assisted coding. He built an in-house OAuth layer to replace a third-party service and reduce projected integration costs, and also created an "ambient agent" that proactively responds to user behavior on the website. He stands out for combining full-stack architecture thinking with a disciplined, model-aware workflow for designing, implementing, and reviewing AI-generated code.

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CM

Intern/Junior Software Engineer specializing in ML, networking telemetry, and full-stack web apps

Louisville, CO1y exp
CableLabsUniversity of Colorado Boulder

Backend-focused engineer with hands-on experience modernizing a legacy SNMP/PNM data collection system at CableLabs into a cloud-accessible Kubernetes pipeline, feeding Prometheus-formatted metrics into VictoriaMetrics and visualizing real-time network health in Grafana for 100+ modems. Also built a FastAPI + Supabase appointment booking portal for a clinic with encryption and phone-number-based auth, and has frontend experience debugging S3-based HEIF image rendering issues.

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VA

Intern AI Engineer specializing in agentic systems and full-stack products

San Francisco, CA2y exp
Snapp AIUniversity of Washington
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Jaanvi Prabhakar - Mid-Level Software Engineer specializing in cloud platforms and AI agent integrations in New York, USA

Mid-Level Software Engineer specializing in cloud platforms and AI agent integrations

New York, USA3y exp
JustLabsCornell University
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RS

Junior Software Engineer specializing in full-stack and AR platforms

Chicago, IL2y exp
EnkluUniversity of Chicago
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NS

Mid-level Full-Stack Software Engineer specializing in microservices and event-driven systems

Kansas, USA4y exp
JPMorgan ChaseUniversity of Central Missouri
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PM

Mid-level Full-Stack Software Engineer specializing in React, Node.js, and cloud deployments

USA4y exp
JPMorgan ChaseUniversity of Massachusetts Dartmouth
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GG

Mid-Level Full-Stack Software Engineer specializing in web apps, cloud, and data visualization

USA3y exp
MicrosoftUniversity of North Texas
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SS

Mid-level Software Engineer specializing in FinTech backend systems

USA5y exp
JPMorgan ChaseIllinois Institute of Technology
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EL

Mid Software Engineer specializing in full-stack and AI-powered cloud applications

San Jose, CA3y exp
Data AnnotationUC Santa Cruz
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DE

Staff Frontend/Full-Stack Engineer specializing in UI architecture and performance optimization

Pacifica, CA7y exp
BrandSafwayUniversity of Oregon
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AS

Junior Software Engineer specializing in full-stack, cloud, and AI systems

Remote2y exp
AmazonVanderbilt University
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TE

Principal software engineer and technical founder specializing in AI platforms

San Jose, CA23y exp
Adrenal AI
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Cornelius O'Donnell - Director-level Engineering & Program Leader specializing in AI product platforms in San Diego, CA

Director-level Engineering & Program Leader specializing in AI product platforms

San Diego, CA25y exp
Studentsidekiq.comUniversity of San Diego

Technical Program Manager and one of three internal "founders" of HP’s Hardware-as-a-Service home printer subscription initiative, spanning DTC shipping, simplified setup, ink replenishment, and warranty coverage. Led roadmap definition/execution, scaled delivery rapidly to 15+ scrum teams (including vendors) with SAFe-like coordination and shared engineering standards, and drove key architecture trade-offs (building an interim subscription management service) to accelerate time-to-market by about a year.

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Yoshi Tryba - Executive product leader specializing in SaaS, B2B2C, and AI-powered products in Boston, MA

Yoshi Tryba

Screened

Executive product leader specializing in SaaS, B2B2C, and AI-powered products

Boston, MA13y exp
TriveltaBrown University

Product leader who has repeatedly rebuilt products and teams from the ground up, including turning around Ellevation's struggling Strategies product into a $20M ARR business line and building Trivelta's product and QA organizations from scratch. Also stands out for hands-on AI execution: personally built an LLM-powered incident detection tool that cut issue detection from hours to 30 minutes and then scaled AI adoption across PM and QA teams.

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